Methods using social topical adaptive networking system

• US 20140236953A1
• Filed: 08/29/2013
• Published: 08/21/2014
• Est. Priority Date: 02/11/2009
• Status: Active Grant

• Current Assignee: RPX Corporation
• Original Assignee: Jeffrey A. Rapaport
• Inventors: RAPAPORT, Seymour, GIMLAN, Gideon, RAPAPORT, Jeffrey A., SMITH, Kenneth Allen, BEATTIE, James
• Granted Patent: US 10,691,726 B2
• Time in Patent Office: Days
• US Class Current: 707/740
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A machine-implemented social networking system builds up and repeatedly refreshes a hierarchy tree containing topic nodes. New nodes are added as new topics emerge in online public forums. Each topic node can link to an on-topic real time chat room whose occupants are currently discussing the topic of the node. A chat room can be pointed to by more than one node if the room is discussing multiple topics. Rooms can migrate from node to node as room topic dynamically changes. A system user who explicitly or inferentially wishes to be invited into a chat room which is on-topic with what the user is currently focused upon can do so by use of a node-seeking automated process. The process operates in the background and seeks out nodes of the hierarchy tree that currently have topics appearing to be the same as or similar to what topics the user appears to have in mind. Content browsing experience of the user is enhanced by addition of an invitations displaying subsystem that automatically invites him or her to co-compatible chat rooms currently discussing the topic(s) the user appears to have in mind. One of the many topics that a user may inferentially have in mind is that of being at a given location as reported by the user'"'"'s GPS and wondering what best to do at that location and time.

Claims

1-25. -25. (canceled)

28. :

The method of claim 26 wherein the data resources include an online web page that provides content corresponding to the topic of the first data object.

28-45. -45. (canceled)

29. :

The method of claim 26 wherein the one or more informational and/or other offerings include an online proposal for a meeting between two or more of the respective ones of the users of the automated machine system where the proposed meeting is defined as covering the topic of the first data object.

30. (canceled)

31. :

The method of claim 221 wherein the data (b) indicative of current calendared events of the respective user is automatically obtained from buried content of a machine accessed by the respective user, where the buried content includes a scheduling calendar of the respective user.

32. :

The method of claim 221 wherein the data (b.16) indicative of current persons-to-contact tasks of the respective user is automatically obtained from buried content of a machine accessed by the respective user, where the buried content includes a pressing contacts list of the respective user.

33. :

The method of claim 26 wherein said caused maintaining of the one or more logical links to respective data resources includes for each of at least some of the given first data objects, causing repeatedly pruning from the linked-to data resources those resources that no longer provide on-topic data corresponding to the given topic associated with the topic node of the given first data object.

34. :

The method of claim 26 wherein said caused maintaining of the one or more logical links to respective data resources includes for each of at least some of the given first data objects, causing repeatedly adding to the linked-to data resources, additional data resources that provide on-topic data corresponding to the given topic associated with the topic node of the given first data object.

35. :

The method of claim 26 wherein said caused maintaining of the first data objects includes a causing of a maintaining a stored first topic name for each of at least some of the given first data objects.

36. :

The method of claim 35 wherein said caused maintaining of the first data objects includes a causing of a maintaining a stored and alternately-usable second topic name for each of at least some of the given first data objects.

37. :

The method of claim 26 wherein said caused maintaining of the first data objects includes a causing of a maintaining respectively stored and user-modifiable specifications of one or more topics respectively covered by each of at least some of the given first data objects.

50-79. -79. (canceled)

91-97. -97. (canceled)

99-109. -109. (canceled)

113-115. -115. (canceled)

123. (canceled)

125-128. -128. (canceled)

129. (canceled)

130-137. -137. (canceled)

139-143. -143. (canceled)

145-146. -146. (canceled)

148-149. -149. (canceled)

151. (canceled)

160-161. -161. (canceled)

165. (canceled)

202. :

(canceled)

209-220. -220. (canceled)

221. :

A machine-implemented method of automatically identifying one or more persons for whom corresponding information and/or other offerings are likely to, or would likely be of interest at a corresponding time and/or a corresponding place based on a corresponding one or more of determined situations and/or identified profiles and/or planning files (e.g., calendars) and/or history files and/or trending files of the identified one or more persons, which determined situations and/or identified profiles and/or planning files and/or history files and/or trending files correspond to information obtained from or about the identified persons, the method comprising;

(a) causing an automated obtaining of respective situational data from respective sensors and/or other situation indicators that are proximate to or associated with respective ones of users of an automated machine system, where the respective users of the machine system are ones who might be subsequently identified as the automatically identified one or more persons for whom the corresponding information and/or the other offerings are likely to, or would likely be of current interest at corresponding times and/or corresponding places,

wherein the respective proximate sensors and/or other situation indicators that are proximate to or associated with the respective ones of the users respectively provide at least one of;

(a.1) data indicative of a current or recent one or more surroundings and/or of a current or recent one or more locations and/or of a current or recent one or more temporal positions and/or one or more availabilities and/or of a current or recent one or more changes of surrounding, and/or changes of location of the respective user;

(a.2) data indicative of a current or recent mood or of a current or recent one or more changes of mood of the respective user;

(a.3) data indicative of a current or recent one or more biometric attributes of, and/or of a current or recent one or more changes of biometric attributes of the respective user;

(a.4) data indicative of a current or recent one or more machine usage activities and/or one or more machine usage states of the respective user;

(a.5) data indicative of a current or recent mental state of, and/or of one or more current or recent changes of a mental state of the first user;

(a.6) data indicative of a current or recent one or more body language gestures made by the respective user;

(a.7) data indicative of a current or recent one or more body postures and/or biomechanical states of, and/or of a current or recent one or more changes of body posture and/or biomechanical state of the respective user;

(a.8) data indicative of a current or recent one or more biochemical states of, and/or of a current or recent one or more changes of biochemical state of the respective user;

(a.9) data indicative of a current or recent one or more physiological states of the respective user;

(a.10) data indicative of a current or recent one or more frames or states of mind of, and/or of a current or recent one or more changes of frame or state of mind of the respective user; and

(a.11) data indicative of a current or recent one or more emotional states of, and/or of a current or recent one or more changes of emotional state of the respective user;

(b) causing an automated using of one or more of respective, identified and predetermined profiles and/or planning files and/or history files and/or trending files of the respective users, where the used one or more of respective profiles and/or planning files and/or history files and/or trending files of the respective users respectively provide at least one of;

(b.1) data indicative of current or recent demographic attributes of the respective user;

(b.2) data indicative of current or recent reputation attributes of the respective user;

(b.3) data indicative of current or recent credential attributes of the respective user;

(b.4) data indicative of current or recent preference and/or dislike attributes of the respective user;

(b.5) data indicative of current or recent favorites of the respective user;

(b.6) data indicative of current or recent topic trends of the respective user;

(b.7) data indicative of current or recent keyword histories of the respective user;

(b.8) data indicative of current or recent URL histories of the respective user;

(b.9) data indicative of current or recent machine usage histories of the respective user;

(b.10) data indicative of current or recent physical locations-visited histories of the respective user;

(b.11) data indicative of current or recent virtual forums-visited histories of the respective user;

(b.12) data indicative of current or recent topics touched-on histories of the respective user;

(b.13) data indicative of current or recent personal expression attributes of the respective user;

(b.14) data indicative of current calendared events of the respective user;

(b.15) data indicative of current to-do tasks and/or priorities thereof for the respective user;

(b.16) data indicative of current persons-to-contact tasks of the respective user; and

(b.17) data indicative of currently open or closed availability time slots of the respective user; and

(c) causing an automated determining of which, if any, of one or more informational and/or other offerings are or would likely be of interest or not to the respective users at corresponding times and/or places based on the caused automated obtaining of the respective situational data and the caused automated using of the one or more of the respective profiles and/or planning files and/or history files and/or trending files of the respective users.

26. :

The method of claim 221 wherein said causing of the automated determining of which, if any, of one or more informational and/or other offerings are or would likely be of interest or not, is based on a further machine-mediated method that includes;

causing a maintaining in computer readable storage of a plurality of first data objects each representing a respective topic node in a hierarchical tree of logically interconnected nodes; and

causing a maintaining as an integrated part of each of plural given ones of the first data objects, one or more logical links to respective data resources that provide on-topic data corresponding to a given topic associated with the topic node of the given first data object.

27. :

The method of claim 26 wherein the data resources include one or more identified telecommunications-mediated information exchange forums such as for example online real time chat rooms having recent exchanges directed to the topic of the topic node or which are expected to soon have exchanges directed to the topic of the topic node, where the recentness of the recent exchanges and the sooness of the soon to-be expected exchange are defined by prespecified time durations.

46. :

The method of claim 26 wherein said caused maintaining of the first data objects includes a causing of a maintaining of respectively stored and system modifiable logical links between parent and respective child node representing ones of the given first data objects.

47. :

The method of claim 26 wherein said caused maintaining of the first data objects includes a causing of a maintaining of respectively stored and system modifiable logical links between parent and respective distant progeny node representing ones of the given first data objects.

48. :

The method of claim 26 wherein said caused maintaining of the first data objects includes a causing of a maintaining of respectively stored and hierarchy tree wise unique ones of node ID tags for substantially all of the first data objects so that created topic nodes can be tracked as unique objects even if they migrate to new positions in the hierarchy tree different from their positions at time of creation.

49. :

The method of claim 26 wherein said caused maintaining of the first data objects includes a causing of a maintaining of respectively stored and topic space wise unique ones of positioning coordinates in a given topic space for substantially all of the first data objects.

80. :

The method of claim 221 and further comprising;

causing a first network-connected and content-presenting digital machine of a respective first user among said identified one or more of the respective users of the machine system to automatically present to the first user a stream of automatically repeatedly updated invitations respectively offering to the first user an ability for the first user to immediately join with one or more other persons into a telecommunications-mediated information exchange forum where actual joiners there-into or invited potential joiners into the corresponding forum are predetermined by the machine system to likely have in common with one another at least one of;

(1) same presented content which is predetermined by the machine system to have been likely recently a center of focus for the actual or potential joiners during a predetermined first time period;

(2) a common topic of concurrent focus predetermined by the machine system to likely be a center of focus for the actual or potential joiners during a predetermined second time period; and

(3) co-compatibility determined by the machine system to likely be present during a predetermined third time period and as between the actual or potential joiners, the determined co-compatibility indicating likely co-compatibility between the actual or potential joiners for beneficially communicating with each other by way of the corresponding forum during the third time period,

the method further comprising;

causing an automatically repeated sending by the machine system of a series of invitation representing physical signals to the respective first content presenting digital machine of the first user where the sent invitation representing physical signals are not infinitesimally transient ones and are structured to cause the first content presenting digital machine to present at least some of the represented invitations as a stream of repeatedly more up to date invitations that the first user can selectively accept and where the represented invitations enable the first user to, immediately upon acceptance, join into one or more corresponding telecommunications-mediated information exchange forums each having at least one of said attributes as between the actual or potential joiners, namely;

(1) commonality of same presented content being likely focused upon within the first time period;

(2) commonality of likely topic being likely a center of focus within the second time period; and

(3) co-compatibility for communicating with one another by way of the corresponding forum and during the third time period.

81. :

The method of claim 80 wherein;

even when said attribute (1) is not true, in other words, two or more users of the machine system are not focusing on same content but rather on different and dissimilar contents, said sending to them of the series of invitation representing physical signals, including one representing an invitation to a same forum, can still occur as a result of at least one of said attributes (2) and (3).

82. :

The method of claim 80 wherein;

for a case where only said attribute (1) is true, namely, commonality of same content being focused upon, the commonly focused upon content is not obtained by all actually joined or invited potential joiners from a same source that itself directs the actual or potential joiners to the corresponding forum.

83. :

The method of claim 80 wherein;

at least one of the represented invitations invites the first user to join into a corresponding telecommunications-mediated information exchange forum having both of said attribute (1) of commonality of same content being likely focused upon within the first time period and attribute (2) of commonality of likely topic focused upon within the second time period.

84. :

The method of claim 80 wherein;

at least one of the represented invitations invites the first user to join into a corresponding telecommunications-mediated information exchange forum having both said attribute (2) of commonality of likely topic of interest and said attribute (3) of co-compatibility for communicating.

85. :

The method of claim 80 wherein;

at least one of the represented invitations invites the first user to join into a corresponding telecommunications-mediated information exchange forum having all of said attributes (1)-(3), namely, commonality of content focused upon, commonality of likely topic of interest and co-compatibility for beneficially communicating.

86. :

The method of claim 80 wherein;

at least the first user and one other actually joined or invited potential joiner into the corresponding forum are topically contemporaneous strangers with respect to one another in that the first user does not know that the one other actual or invited potential joiner is a person who during the predetermined second time period has a substantially same topic of focus or interest in mind as does the first user during the predetermined second time period.

87. :

The method of claim 80 wherein;

each of the first and second predetermined time periods is not more than one week before the corresponding invitation is presented to the first user.

88. :

The method of claim 87 wherein;

each of the first and second predetermined time periods is at least one of;

not more than three hours before the corresponding invitation is presented to the first user; and

at time period determined in accordance with a profile of the first user as to what constitutes recentness for a current context of the first user.

89. :

The method of claim 87 wherein;

each of the first and second predetermined time periods is not more than 5 minutes before the corresponding invitation is presented to the first user.

90. :

The method of claim 221,

wherein said causing of an automated obtaining of respective situational data from respective sensors and/or other situation indicators that are proximate to or associated with respective ones of users of the automated machine system includes a caused automated determining of at least one of;

odors the respective user is subjected to;

background sounds the respective user is subjected to;

background lightings the respective user is subjected to;

eye focusing activities of the respective user;

changes in pupil dilation state of the respective user;

cursor focusing activities of the respective user;

head movement activities of the respective user;

body language activities of the respective user;

eyeglass-frame associated activities of the respective user;

time spent by the respective user in apparently listening to audio content; and

user input device usages of the respective user which user input device usages may include one or more of;

keyboarding input focusing activities of the respective user;

mouse actuations or mouse movements of the respective user;

display scrolling actions caused by the respective user through use of a user input device;

temporary highlighting of displayed content as caused by the respective user through use of a user input device;

temporary zooming into or zooming back from displayed content as caused by the respective user through use of a user input device;

copying of presented content as caused by the respective user through use of a user input device;

time spent operating a user input device to thereby view more than one screen-full of presented content;

rates of input device usage by the respective user including for example mouse agitation rates;

eye blinking activities of the respective user;

heart rate of the respective user;

breathing rate of the respective user;

depth of breathing of the respective user;

fidgeting by the respective user;

facial grimaces of the respective user;

galvanic skin response of the respective user;

hand gesturing by the respective user;

blood pressure of the respective user;

blushing or paleness of the respective user;

skin temperature of the respective user;

muscle tensing by the respective user; and

imagery in an infra-red (IR) range of the respective user.

98. :

The method of claim 221 wherein at least one of the obtained respective situational data from a corresponding at least one of the respective sensors and/or other situation indicators includes at least one of;

a time stamp indicating when the particular situation, as indicated by the at least one and respective situational data, was deemed to have taken place;

a location stamp indicating where the particular situation, as indicated by the at least one and respective situational data, was deemed to have taken place;

a machine identification stamp indicating an identification of a particular machine or sensor used for producing the at least one and respective situational data;

a machine setting stamp indicating a positional orientation and/or other setting of the particular machine or sensor used for producing the at least one and respective situational data;

a user identification stamp indicating an identification of the respective user for whom the at least one and respective situational data applies; and

a usage of a machine input mechanism stamp indicating user usage of one or more machine input mechanisms including, but not limited to, keyboard usage, mouse usage, touchpad usage, microphone usage, a usage that changes displayed content, a usage that causes copying a specific piece of content, a usage that involves listening to audio content and a search engine input usage.

110. :

The method of claim 221 wherein the automated obtaining of respective situational data from respective sensors and/or other situation indicators that are proximate to or associated with respective ones of users of the automated machine system comprises;

automatically detecting and recording local machine usage activities of the respective user as applied to machine systems in the user'"'"'s locale, including;

attention focusing activities of the respective user which include at least one of;

eye focusing activities of the respective user;

changes in pupil dilation state of the respective user;

cursor focusing activities of the respective user;

head movement activities of the respective user;

body language activities of the respective user;

eyeglass-frame associated activities of the respective user;

time spent by the respective user in apparently listening to related audio content; and

including;

local user input device usages of the respective user which user input device usages may include one or more of;

keyboarding input focusing activities of the respective user;

mouse actuations or mouse movements of the respective user;

display scrolling actions caused by the respective user through use of a user input device;

temporary highlighting of displayed content as caused by the respective user through use of a user input device;

temporary zooming into or zooming back from displayed content as caused by the respective user through use of a user input device;

copying of presented content as caused by the respective user through use of a user input device;

time spent operating a user input device to thereby view more than one screen-full of presented content;

rates of input device usage by the respective user including for example mouse agitation rates; and

user usage of one or more machine input mechanisms including, but not limited to, keyboard usage, mouse usage, touchpad usage, microphone usage, a usage that changes displayed content, a usage that causes copying a specific piece of content, a usage that involves listening to audio content and a search engine input usage.

111. :

The method of claim 110 wherein;

the automated detecting and recording of local machine usage activities of the respective user further includes;

automatically detecting and recording indications of intensity or rapidity of emotional involvement concurrently associated with the local machine usage activities of the respective user.

112. The method of claim 111 wherein the automatically detected and recorded indications of intensity or rapidity of emotional involvement include at least one of:

eye blinking activities of the respective user;

heart rate of the respective user;

breathing rate of the respective user;

depth of breathing of the respective user;

fidgeting by the respective user;

facial grimaces of the respective user;

galvanic skin response of the respective user;

hand gesturing by the respective user;

blood pressure of the respective user;

blushing or paleness of the respective user;

skin temperature of the respective user;

muscle tensing by the respective user;

imagery in an infra-red (IR) range of the respective user; and

one or more biometric attributes of the respective user including, but not limited to, biometric attributes based on EEG signals obtained from the respective user, biometric attributes based on EKG signals obtained from the respective user, biometric attributes based on ultrasound reflection signals obtained from the respective user, and biometric attributes based on biometric signals obtained from sensors worn by the respective user.

116. :

The method of claim 221 wherein the obtained and respective situational data from respective sensors and/or other situation indicators that are proximate to or associated with respective ones of users of the automated machine system include indications of one or more biometric states or mental states of the respective user, where the indicated states include or are based on at least one of;

(a) a staring by the respective user beyond a prespecified time upon displayed content and/or the time length of such staring;

(b) increased or decreased heart rate;

(c) increased or decreased breathing rate;

(d) increased or decreased depth of breathing;

(e) increased fidgeting;

(f) unusual skin blushing or paleness;

(g) up-tilted head and diverted eyes while listening to audio;

(h) grimaces, eyebrow lifts, or other facial expressions;

(i) rate of CO2 exhalation;

(j) galvanic skin response;

(k) posture-related weight bearing distribution;

(l) rate of words read per unit of time;

(m) changes in eye dilation state;

(n) verbal expressing of profanities or the like;

(O) rate of invitation acceptances by the respective user;

(p) reaction time of the respective user after being subjected to emotion evoking test content;

(q) eyelid blink rate and/or degree to which eyes are kept open;

(s) distance between head of the first user and content presenting device;

(t) in person social isolation or immersion of the respective user;

(u) increased agitation;

(v) engaging in flaming activities where the respective user is projecting impolite content to other users in a forum, even if not actually transmitting such flaming content to the others;

(w) unusually high casting of negative votes by the respective user;

(x) output of an electromagnetic brain probing device;

(y) body language cues provided by the respective user;

(z) emotion or reaction type associated with current or previous content to which the respective user is exposed;

(aa) blushing or paleness of the respective user;

(bb) skin temperature of the respective user;

(cc) muscle tensing by the respective user; and

(dd) imagery in an infra-red (IR) range of the respective user.

117. :

The method of claim 116 wherein the indicated biometric states of the respective user are processed by automated apparatus in accordance with predetermined biometric data processing rules stored in a memory and logically linked to the respective user.

118. :

The method of claim 116 wherein one or more indicated mental states of the respective user are based on a Personal Emotion Expression Profile (PEEP) stored in a memory and logically linked to the respective user.

119. :

The method of claim 221 and further comprising;

(d) causing an automated data-access suppressor to automatically suppress an obtaining of respective situational data directed to prespecified content or occurring during prespecified times.

120. :

The method of claim 119 wherein the prespecified times include times when a local global interest monitoring warning icon indicates interest monitoring is globally off.

121. :

The method of claim 119 wherein the prespecified content is prespecified to contain confidential material.

122. :

The method of claim 119 and further comprising;

causing use of an encryption means that encrypts some of the respective situational data before that situational data is transmitted over a network.

124. :

The method of claim 119 and further comprising;

causing an automated upload suppressor to suppress automated uploading without permission from the respective user of respective situational data that is designated as originating from a confidential source.

138. :

The method of claim 221 wherein;

the automated machine system used by the respective ones of users is one which maintains in a memory thereof, an organized mapping of communally-agreed-to cognition definitions and wherein the organized mapping is a dynamically changeable mapping whose node organizing aspects may be re-organized to correspond with changing sentiments of a plurality of users of the machine system; and

the machine system is configured to automatically repeatedly re-organize its communally-agreed-to cognition definitions based on the received and processed vote-indicating signals obtained from one or more of the users of the machine system.

144. :

The method of claim 221 wherein the automated obtaining of respective situational data comprises;

using one or more user monitoring subsystems that are configured to automatically repeatedly monitor at least one of machine usage activities of, states of, and/or surroundings of the respective user of the machine system and to automatically repeatedly record report records corresponding to the monitored activities, states, and/or surroundings of the respective user, wherein the automatically repeated monitorings are carried out transparently by the one or more user monitoring subsystems without need for diverting focused attention of the respective user to aiding the monitorings;

wherein said monitored activities, states, and/or surroundings of the respective user include those that occurred no more than at least one of;

3 hours prior to said automated determining of which, if any, of one or more informational, and/or other offerings are or would likely be of interest or not at corresponding times, and/or places; and

a determined time duration prior to said automated determining of which, if any, of one or more informational, and/or other offerings are or would likely be of interest or not at corresponding times, places, the determined time duration being determined based on a currently active profile characterizing the respective user.

147. :

The method of claim 144 and further comprising automatically repeating the automated determining of which, if any, of one or more informational and/or other offerings are or would likely be of interest or not at corresponding times and/or places such that the automatically repeated automated determinings are progressively more up to date ones.

150. :

The method of claim 144 wherein the monitored activities and/or states of the respective user include likely recent focusings of attention of the respective user include focusings of attention on differently sourced items of content that respectively originated from different sources of content.

152. :

The method of claim 144 wherein at least some of the automatically repeatedly recorded report records include data derived from an emotional state detector, the detector comprising at least one of

a body language detector configured to detect a body language state of the respective user; and

a biometric state detector configured to detect a biometric state of the respective user;

wherein the emotional state detector is configured to automatically repeatedly determine a recent at least one of the body language state and the biometric state of the respective user transparently without need for diverted centering of attention by the respective user directed to aiding the automatically repeated determining of the recent at least one of the body language state and the biometric state of the respective user; and

wherein the immediately actionable on invitations to respectively connect with system-identified and telecommunications-mediated forums are based on the automatically repeated determinations by the body language detector of recent ones of body language states or the biometric states of the respective user.

153. :

The method of claim 152,

wherein at least a portion of the biometric state detector is incorporated in a wearable article that is wearable by the respective user.

154. :

The method of claim 153,

wherein the wearable article includes a watch that is wearable by the respective user.

155. :

The method of claim 152,

wherein at least a portion of the biometric state detector is incorporated in a user-to-computer system interface device that is usable by the respective user.

156. :

The method of claim 152,

wherein at least a portion of the biometric state detector is incorporated in a camera trainable on a skin portion of the respective user for detecting changes in biometric state based on imagery obtained in different optical wavelength bands.

157. :

The method of claim 152,

wherein the body language detector includes a camera trainable on at least a head portion of the respective user for detecting body language related attributes from images provided by the camera of at least the head portion of the respective user.

158. :

The method of claim 152,

wherein the body language detector includes an instrumented article of furniture configured to support the body of the respective user and further configured to detect changes of weight bearing and/or posture of the respective user.

159. :

The method of claim 152,

wherein at least one of the biometric state detector and the emotional state detector includes a respective noncontact sensor that respectively detects a corresponding biometric state or emotional state of the respective user without making direct contact with the respective user.

162. :

The method of claim 144 wherein at least one of the user monitoring subsystems is configured to automatically sort the stored recent ones of the report records.

163. :

The machine system of claim 162 wherein the sorting of the stored recent report records performed by the user monitoring subsystem is keyed at least on biometrically detected level of interest as indicated in the respectively stored recent report records.

164. :

The machine system of claim 162 wherein the at least one user monitoring subsystem is configured to respond to an externally supplied pull-request signal that includes filtering criteria for selectively identifying those of the stored recent report records that are to be next used for said automated determining of which, if any, of one or more informational and/or other offerings are or would likely be of interest or not at corresponding times and/or places.

166. :

The method of claim 221 and further comprising;

(d) causing a maintaining or updating within a memory of the machine system of a stored arrangement of updateable data objects, at least a plurality of which each respectively represents a cognition node having associated therewith, updateable cognition data resources;

wherein the arrangement of the cognition nodes is at least one of a hierarchical arrangement, a spatial arrangement and one maintained in a database;

wherein the updateable cognition data resources associated with at least a plurality of the cognition nodes includes at least one of a primary name assigned to the respective cognition node and a primary specification assigned to the respective cognition node; and

wherein users of the machine system can cause through at least one of explicit and implicit voting or their respective data contributions to the machine system, at least one of the following actions;

converting a nondedicated node into one dedicated to a respective and named and/or specified cognition;

creating a dedicated node which is dedicated to a respective named and/or specified cognition;

migrating at least one of the cognition nodes and its attached child nodes to a different location hierarchically and/or spatially within the arrangement of said data objects;

fusing at least two of the cognition nodes together so as to thereby define a fused node inheriting the associated data resources of the fused nodes;

splitting at least one of the cognition nodes so as to thereby define a plurality of nodes each initially inheriting at least some of the associated data resources of the split node;

changing placement of a respective node hierarchically and/or spatially within a respective hierarchical and/or spatial arrangement of said data objects;

changing an associated primary name of at least one of the cognition nodes;

adding to or changing an associated primary specification of at least one of the cognition nodes; and

adding to or changing other cognition data resources associated with at least one of the cognition nodes.

167. :

The method of claim 166 wherein;

at least a subset of the plurality of cognition nodes are communally-agreed-to cognition nodes; and

the updateable cognition data resources associated with the respective cognition node have been explicitly or implicitly voted on or ranked by or provided by at least two users of the machine system.

168. :

The method of claim 166 wherein at least one of the hierarchical and/or spatial arrangements of the cognition nodes is additionally a dynamically reorganizable one where the dynamically organized and reorganized arrangement of at least a plurality of the cognition nodes has been explicitly or implicitly voted on by at least two users of the machine system and wherein at least three of the cognition nodes respectively and hierarchically represent at a given time point and in the recited order, a first grandparent node, a first parent node and a first child node; and

further wherein the users of the machine system can cause through at least one of explicit and implicit voting, at least one of the following additional actions;

adding a second child node, different from the first child node as being an additional child of the first parent node;

changing the spatial but not hierarchical arrangements of the first and second child nodes; and

changing both of the spatial and hierarchical positionings of a selected node.

169. :

The method of claim 166 wherein at least a first and a second of respective pluralities of the updateable cognition data resources respectively associated with a corresponding first and a corresponding second of the cognition nodes are each organized as a sorted or ranked or at least collected collection of same type cognition data resources and wherein

the method comprises;

enabling users of the machine system to cause through at least one of explicit and implicit voting or ranking or usage-type touching on respective cognition nodes, at least one of the following actions to occur;

providing a relative ranking of recently collected cognition data resources of a same type collected for the respective cognition node, where the ranking is based on at least one basis among the ranking bases group of;

(a) recently most popular usage of that same type of cognition data resource;

(b) usage by node-touching users having higher credentials than those of other node-touching users for that same type of cognition data resource;

(c) usage by node-touching users having higher reputations than those of other node-touching users for that same type of cognition data resource;

(d) recent showing of a relatively higher upsurge in trend of increased usage than the increasing usage trends of others of the same type of cognition data resource collected for the respective cognition node;

providing a sorted list of pre-ranked ones of cognition data resources of a same type where the sorting basis is selected from among a plurality of sorting bases including, most popular of used cognition data resources, most heavily credentialed of used cognition data resources, and sophistication level of information provided by the used cognition data resources;

providing a collection of aged but nonetheless highly ranked ones of cognition data resources of respective types; and

providing respective statistical reports about the personhood data of users who have touched on the respective cognition nodes.

170. :

The method of claim 169 wherein respective types of cognition data resources that are respectively collected for the respective cognition nodes include at least two of;

universal resource locators (URL'"'"'s) of the respective cognition node;

keywords of the respective cognition node;

meta-tags of the respective cognition node;

pointers to immediate child nodes of the respective cognition node;

pointers to distant relative nodes of the respective cognition node;

pointers to associated forums of the respective cognition node;

pointers to associated other data resources of the respective cognition node;

a pointer to an associated parent node of the respective cognition node;

personhood statistics about the users who have touch on the respective cognition node, the personhood statistics including demographic statistics; and

spatial coordinates within a respective spatial space assigned to the respective cognition node.

171. :

The method of claim 166 wherein the stored arrangement of updateable data objects further includes co-compatibility state objects of respective online users of the machine system, the co-compatibility state objects being respectively indicative of current personhood states of the respective online users and distances between them in a multidimensional co-compatibility space.

172. :

The method of claim 171 wherein the current personhood states of the respective online users include at least two selected from the group consisting of;

user age, user gender, user socioeconomic class, user religion, user culture (and implicitly associated stereotypical idiosyncrasies of that culture), user geographic location, user time zone, user language preferences, user political affiliations, user'"'"'s favorite topics, user'"'"'s favorite books, user'"'"'s favorite movies, user'"'"'s favorite games, user'"'"'s favorite URLs, user'"'"'s currently desired forum buddies personhood criteria, user'"'"'s currently desired forum properties, user'"'"'s current reputations and user'"'"'s current credentials.

173. :

The method of claim 166 wherein the arrangement of the cognition nodes include at least a first grandparent node, a corresponding first parent node and a corresponding first child node each of which is a topic representing node respectively representing according to said recited order, a comparatively broad topic, a comparatively narrower topic (subtopic) falling under the comparatively broad topic, and a comparatively even-narrower topic (subsubtopic) falling under the comparatively narrower topic.

174. :

The method of claim 173 wherein said adding to or changing of other associated cognition data resources includes an adding to or a changing of at least one of;

a URL hint associated with a respective topic node;

a keyword hint associated with the respective topic node;

a metadata hint associated with the respective topic node;

a pointer to a child node associated with the respective topic node;

a pointer to a forum associated with the respective topic node; and

a pointer to a non-forum resource associated with the respective topic node.

175. :

The method of claim 166 wherein said adding to or changing of other associated cognition data resources includes a changing of at least one of;

a URL hint associated with the respective node;

a keyword hint associated with the respective node;

a metadata hint associated with the respective node;

a pointer to a child node associated with the respective node;

a pointer to a forum associated with the respective node; and

a pointer to a non-forum resource associated with the respective node.

176. :

The method of claim 175 wherein at least one forum is caused to have more than one of the cognition nodes pointing to that at least one forum.

177. :

The method of claim 176 wherein the at least one forum is an online chat room.

178. :

The method of claim 174 wherein at least one forum is an online and topic-related chat room.

179. :

The method of claim 166 wherein said adding to or changing of other associated cognition data resources includes an adding to or changing of one or more secondary alias names associated with the respective node.

180. :

The method of claim 175 and further comprising;

causing at least one of the primary names, primary specifications, URL hints, keyword hints and metadata hints of the respective nodes to be stored in a searchable database so that nodes having commonality with respect to the database stored primary names, primary specifications, URL hints, keyword hints and metadata hints can be co-located with use of the database.

181. :

The method of claim 175 and further comprising;

causing at least one of respective node creation dates and times, node modification dates and times, node last access dates and times, and node access hits per unit time to be stored in a searchable database so that nodes having commonality with respect to these database stored attributes can be co-located with use of the database.

182. :

The method of claim 166 wherein at least one of the cognition nodes is a co-compatibility preference representing node respectively representing at least one of demographic attributes, reputation attributes, credential attributes, and personality attributes or preferences according to which plural users of the machine system are likely to prefer joinder with one another in an information exchange session irrespective of there being an associated topic.

183. :

The method of claim 182 and further comprising;

causing an automated determination of co-compatibility distancing within a co-compatibility space containing said co-compatibility preference representing node, the co-compatibility distancing being between two or more of plural users of the machine system.

184. :

The method of claim 183 wherein the co-compatibility space is a multidimensional space having plural axes each defining co-compatibility based on a different one of plural co-compatibility determining attributes.

185. :

The method of claim 221 and further comprising;

(d) causing a maintaining and an automatically repeated updating within a memory of the machine system of a plurality of stored and dynamically updated user profiles for each of the respective users of the machine system, at least one of the automatically repeatedly updated profiles being a currently active profile activated on a basis of at least one of a current mood and current surroundings of a respective one of the users of the machine system,

wherein the current mood and/or the current surroundings basis of the respective one user is determined based on automatic repeated obtaining of at least one of Current Focus indicator signals (CFi'"'"'s) associated with the respective one user, of Current Vote indicator signals (CVi'"'"'s) associated with the respective one user, of current GPS signals associated with the respective one user, and of current nearby RFID tag information associated with the respective one user and/or of current nearby RFID tag information associated with another user who is proximate to the respective one user, and/or

wherein the current mood of the respective one user is determined based on an explicit mood reporting signal provided by the respective one user.

186. :

The method of claim 185 and further comprising;

automatically determining connection co-compatibilities between two or more of the users of the machine system based on their respective and currently active user profiles.

187. :

The method of claim 185 and further comprising;

automatically recommending activities to the respective one user based on at least one of the respective one user'"'"'s currently-active personhood profile and the respective one user'"'"'s recently, automatically repeatedly obtained Current Focus indicator signals (CFi'"'"'s).

188. :

The method of claim 185 and further wherein at least one of the current mood and faced-toward portion of surroundings of the respective one user is automatically repeatedly determined based on signals obtained from an instrumented eye glass type of frame or helmet worn by the respective one user.

189. :

The method of claim 185 and further wherein at least one of the current mood and current surroundings of the respective one user is automatically repeatedly determined based on signals wirelessly obtained from one or more instrumented devices worn by the respective one user and/or from an instrumented posture supporting device used by the respective one user for defining a current posture of the user.

190. :

The method of claim 221 wherein the causing of an automated determining includes;

causing an automatically repeated determining of one or more members of a joinder worthiness attributes group, the group being comprised of at least two joinder worthiness attributes including;

recent user emotional states, recent user moods, recent user behavioral states, recent user attention focusing states, user demographics, recent user-surrounding objects, recent other persons surrounding the user, recent user context cues other than user-surrounding objects and user-surrounding other persons, plus optionally other recent joinder worthiness attributes of a respective first user of the machine system; and

causing an automatically repeated determining of a same one or more of the joinder worthiness attributes of a respective second user of the machine system;

wherein the joinder worthiness attributes can be indicative of how likely or not the respective first and second users are to want to receive an automatically generated invitation to join one with the other;

wherein the respective and automatically repeated determinings of the joinder worthiness attributes of the respective first and second users are unobtrusive determining processes which respectively do not divert the respective user'"'"'s attention toward aiding the respective determining processes.

191. :

The method of claim 190 wherein;

the joinder worthiness attributes include at least one of;

(a1) current positive mood of the respective user to join with another user belonging to a predefined age range;

(a2) current negative mood of the respective user to join with another user belonging to a predefined age range;

(a3) current neutral mood of the respective user to join with another user belonging to a predefined age range;

(b1) current positive mood of the respective user to join with another user of a predefined gender;

(b2) current negative mood of the respective user to join with another user of a predefined gender;

(b3) current neutral mood of the respective user to join with another user of a predefined gender;

(c1) current positive mood of the respective user to join with another user located in a predefined geographic area and/or time zone;

(c2) current negative mood of the respective user to join with another user located in a predefined geographic area and/or time zone;

(d1) current positive mood of the respective user to join with another user fitting into a predefined socioeconomic class;

(d2) current negative mood of the respective user to join with another user fitting in a predefined socioeconomic class;

(e1) current positive mood of the respective user to join with another user belonging to a predefined religion and/or culture;

(e2) current negative mood of the respective user to join with another user belonging to a predefined religion and/or culture;

(f1) current positive mood of the respective user to join with another user belonging to a predefined political organization;

(f2) current negative mood of the respective user to join with another user belonging to a predefined political organization;

(g1) current positive mood of the respective user to join with another user currently having a predefined one or more topics as currently favorite topics or currently most disliked topics;

(g2) current negative mood of the respective user to join with another user currently having a predefined one or more topics as currently favorite topics or currently most disliked topics;

(h1) current positive mood of the respective user to join with another user currently having a predefined one or more books as currently favorite books or currently most disliked books;

(h2) current negative mood of the respective user to join with another user currently having a predefined one or more books as currently favorite books or currently most disliked books;

(i1) current positive mood of the respective user to join with another user currently having a predefined one or more movies as currently favorite movies or currently most disliked movies;

(i2) current negative mood of the respective user to join with another user currently having a predefined one or more movies as currently favorite movies or currently most disliked movies;

(j1) current positive mood of the respective user to join with another user currently having a predefined one or more games as currently favorite games or currently most disliked games;

(j2) current negative mood of the respective user to join with another user currently having a predefined one or more games as currently favorite games or currently most disliked games;

(k1) current positive mood of the respective user to join with another user currently having a predefined one or more URL'"'"'s (universal resource locators) as currently favorite URL'"'"'s or currently most disliked URL'"'"'s;

(k2) current negative mood of the respective user to join with another user currently having a predefined one or more URL'"'"'s as currently favorite URL'"'"'s or currently most disliked URL'"'"'s;

(L1) current positive mood of the respective user to join with another user currently having a general reputation for liking to argue or opposingly having a general reputation for liking to be agreeable;

(L2) current negative mood of the respective user to join with another user currently having a general reputation for liking to argue or opposingly having a general reputation for liking to be agreeable;

(L3) current positive or negative mood of the respective user to be invited to observe and/or participate in forum having specified average or otherwise forum-wide characterizing attributes relating to general reputations of other users of that forum and/or relating to general credentials of other users of that forum and/or relating to general demographics of other users of that forum;

(m1) current positive mood of the respective user to join with another user currently having a general reputation for having fact-based view points or opposingly having a general reputation for not having fact-based view points;

(m2) current negative mood of the respective user to join with another user currently having a general reputation for having fact-based view points or opposingly having a general reputation for not having fact-based view points;

(n1) current positive mood of the respective user to join with another user currently having validated credentials in a predefined one or more topic areas or work experience areas;

(n2) current negative mood of the respective user to join with another user currently having validated credentials in a predefined one or more topic areas or work experience areas;

(O1) current positive mood of the respective user to join with one or more other users in a forum where the forum has, or is projected to have a predefined set of forum statistics;

(O2) current negative mood of the respective user to join with one or more other users in a forum where the forum has, or is projected to have a predefined set of forum statistics;

(O3) current neutral mood of the respective user to join with one or more other users in a forum where the forum has, or is projected to have a predefined set of forum statistics;

(p1) current emotional state of the respective user being at least one of happy, disappointed, upset, engaged, bored, groggy, sleepy, caffeinated and in a bad mood due to background stresses;

(p2) current emotional state of the respective user being at least one of heightened excitement, a determined level of anxiety, a determined level of jumpiness, a determined level of interest, a determined level of upset, a determined level of concern, a state of deep interest, a state of high degree of dissatisfaction, a determined degree of attentive focus, a state of sleepiness, a stressed state, a relaxed state, a state of agitation, a state of fear, a state of doubt, state of joy, a state in which one or more prespecified parts of the respective user'"'"'s brain are raised to a more active level where the prespecified brain parts may include at least one of the amygdala, orbitofrontal cortex, and dorsal striatum, a state of willingness to engage with other users, a mood to engage with other users who are agreeable with the respective user'"'"'s point of view and a mood to engage with other users who adhere to points of view different from that of the respective user and desire to debate over the differing points of view;

(p3) current emotional state of the respective user being cranky;

(p4) current emotional state of the respective user being in an unusual mood for a given period of time;

(p5) current emotional state of the respective user being anxious;

(p6) current emotional state of the respective user being excited;

(q1) a current disposition to join into an online forum where the forum has or will have at least one of;

(q1a) a predetermined forum population range;

(q1b) a predetermined forum average age of participants;

(q1c) a predetermined forum gender mix ratio;

(q1d) a predetermined forum socioeconomic average;

(q1e) a predetermined forum mean location of participants;

(q1f) participants having same emotional reactions with respect to a reference item of content;

(q1g) a commonality among forum participants with respect to at least one of;

favorite books, favorite movies, favorite topics, favorite games, favorite URL'"'"'s; and

(q1h) an exclusion from the forum of participants having a predetermined undesired age range, a predetermined undesired gender, a predetermined undesired socioeconomic class, a predetermined undesired reputation, a predetermined undesired credential or lack of such credential or a credential that will unbalance a predetermined mix of the credential desired for the forum, a predetermined disposition toward arguing, a predetermined disposition toward ignoring facts, a predetermined disposition toward being too agreeable; and

(q2) a current disposition to join in on an in person meeting with other co-compatible users.

192. :

The method of claim 191 wherein;

current mood and/or emotional state of the respective user is determined based on recent body language and/or biometric states of the respective user; and

said automatically repeated and unobtrusive determining of one or more of the joinder worthiness attributes of the respective user includes automatically repeatedly analyzing automatically repeatedly monitored ones of body language expressions of the respective user and/or biometric states of the respective user.

193. :

The method of claim 192 wherein;

the automatically repeated analyzing of monitored ones of body language expressions and/or biometric states of the respective user includes use of a currently active Personal Emotion Expression Profile (PEEP) record of the respective user, where the PEEP record provides correlative mappings between at least one of;

recent body language expressions of the respective user and emotional states or focus/content-engagement states of the respective user; and

recent biometric states of the respective user and emotional states or focus/content-engagement states of the respective user.

194. :

The method of claim 192 wherein;

the automatically repeatedly monitored body language expressions of the respective user include at least one of;

facial expressions made by the respective user;

upper body posturings expressed by the respective user;

eye lid blinks made by or blink rates of the respective user;

changes of eye pupil states of the respective user;

length of staring at a particular location;

rapidity and/or depth of breathing by the respective user;

sighing actions of the respective user;

shoulder shrugging actions of the respective user;

stretches of physical inactivity of the respective user;

head shakes by the respective user;

a sitting posture of the respective user; and

how often and/or to what extent the respective user shakes or bobs the user'"'"'s head and whether such shaking or bobbing is in rhythm to background music.

195. :

The method of claim 193 wherein;

the automatically repeatedly monitored recent biometric states of the respective user include at least one of;

an increase or decrease of blood flow to a monitored body part of the respective user;

a pulse rate of the respective user;

a galvanometric skin resistance of the respective user;

a skin temperature of the respective user;

flexure of monitored muscles of the respective user;

rate of acceleration of hand gestures of the respective user;

respiration rate of the respective user and/or depth of exhalations of the respective user;

blood pressure of the respective user;

distribution of weight by the respective user on monitored weight bearing surfaces that bear the respective user;

at least one of an EKG and EEG of the respective user;

a grip force by which the respective user grips a device having embedded grip monitoring features;

stress tones in the respective user'"'"'s voice; and

brain activity indicating signals obtained by a brain probing device.

196. :

The method of claim 193 and further comprising;

selecting the currently active Personal Emotion Expression Profile (PEEP) record of the respective user on the basis of at least one of;

a recently determined mood of the respective user;

recently determined surroundings of the respective user;

recently determined biometric states of the respective user; and

currently active knowledge base rules (KBR'"'"'s) associated with the respective user.

197. :

The method of claim 196 wherein the selection basis includes the currently active knowledge base rules (KBR'"'"'s) and those KBR'"'"'s specify at least one of;

a next PEEP record to be instead activated for the respective user if KBR-specified conditions are met;

changes in determined emotional state of the respective user based on changes of heart beat rate and/or other collected biometric data;

changes in determined emotional state of the respective user based on changes in the user'"'"'s posture;

changes in determined attention focusing score of the respective user based on changes in a reading rate of the respective user over a recent predetermined duration of time;

changes in a CFi'"'"'s merging time stretch based on changes in the user'"'"'s recent biometric data;

changes in determined emotional state of the respective user based on detected recent verbal utterances by the respective user; and

changes in at least one of detected background noises, odors and/or lighting cues.

198. :

The method of claim 190

wherein the automatically repeated determining of one or more members of the joinder worthiness group includes determining user behaviors;

wherein the automatically repeated determinings of the respective one or more behavioral and optionally other joinder worthiness attributes of the respective first and second users is an unobtrusive determining process which does not divert the respective user'"'"'s attention toward aiding the determining process;

wherein the automatically repeatedly determined one or more behavioral or other joinder worthiness attributes include at least one of;

using a currently active personhood profile (CpCCp) of the respective user;

using a currently active planning calendar of the respective user;

using a currently active must-meet-and-confer list of the respective user;

using one or more currently pressing, to-do files of the respective user where the to-do files define at least one of places and times of already scheduled meetings, events or conferences which the respective user is committed to attending;

using a currently active contacts list of the respective user;

using historical trending behaviors of the respective user as stored in a trending behaviors store of the machine system;

using the respective user'"'"'s developed reputation within a given domain as based on respective user'"'"'s past behaviors in that domain and as adjudged by other users of the machine system;

using the respective user'"'"'s historical migration behaviors within a machine system maintained topic space;

using the respective user'"'"'s historical migration behaviors in stepping through different kinds of online forums as a trending predictor; and

using the respective user'"'"'s historical habits of behavior.

199. :

The method of claim 198 wherein;

the used and currently active personhood profile (CpCCp) includes;

a currently active set of knowledge base rules (KBR'"'"'s) and those KBR'"'"'s specify at least one of;

a next personhood profile to be instead activated for the respective user if KBR-specified conditions are met;

a change in a determined co-compatibility score based on attributes of a potential forum to which the respective user might be invited; and

a change in a determined co-compatibility score based on time and/or location of the respective user.

200. :

The method of claim 198 wherein;

the used and currently active personhood profile (CpCCp) includes;

a list of desirable other users;

a list of undesirable other users;

a list of desirable forum properties;

a list of undesirable forum properties;

a list of desirable reputations of other users;

a list of undesirable reputations of other users;

a list of desirable credentials of other users;

a list of undesirable credentials of other users;

a list of desirable favorite things of other users; and

a list of undesirable favorite things of other users.

201. :

The method of claim 221 wherein the causing of an automated determining includes;

causing an automatically repeated determining of one or more members of a content recommendation worthiness attributes group comprised of at least two recommendation worthiness attributes including;

recent user emotional states, recent user moods, recent user behavioral states, recent user attention focusing states, user demographics, recent user-surrounding objects, recent other persons surrounding the user, recent user context cues other than user-surrounding objects and user-surrounding other persons, plus optionally other recent content recommendation worthiness attributes of a respective first user of the machine system;

wherein the content recommendation worthiness attributes can be indicative of how likely or not the respective first user is to want to receive an automatically generated recommendation of content for the first user to investigate based on the automatically repeatedly determined content recommendation worthiness attributes;

wherein the respective and automatically repeated determinings of the content recommendation worthiness attributes of the first user are unobtrusive determining processes which respectively do not divert the respective first user'"'"'s attention toward aiding the respective determining processes.

203. :

The method of claim 221 and further comprising;

causing an automatic identifying of clusterings and/or of trends toward clustering or declustering of users and/or of cognition-representing nodes and/or of forums in one or more attribute-differentiated spatial spaces or hierarchically ordered spaces, the method using the automated machine system and said causing of the automatic identifying of clusterings and/or of trends toward clustering or declustering of users and/or of cognition-representing nodes and/or of forums including;

causing an automatically repeated determining of one or more spatially-differentiating attributes and/or hierarchical-placement-differentiating attributes of plural users of the machine system and/or of cognition-representing nodes defined by the machine system and/or of forums tracked by the machine system, the spatially-differentiating attributes being ones that enable differentiation within a respective spatial space and the hierarchical-placement-differentiating attributes being ones that enable differentiation within a respective hierarchically ordered space with regard to how relatively close or farther apart or trending toward convergence or diverting away from one another or how otherwise correlated within the respective space are the plural users relative to one another and/or are the plural cognition-representing nodes relative to one another and/or are the plural forums relative to one another;

wherein the automatically repeated determinings of the attributes related to the plural users are unobtrusive determining processes which respectively do not divert the respective users'"'"' attentions toward aiding the respective determining processes;

wherein the attributes related to the plural users include at least one of user demographic attributes, user reputation attributes, user credential attributes, user attention focusing attributes, user emotional and/or biometric state attributes, user body language attributes, recent user-surrounding objects, recent other persons surrounding the user, recent user context cues other than user-surrounding objects and user-surrounding other persons;

wherein the attributes related to the plural forums include at least one of forum population demographic attributes, forum population reputation attributes, forum population credential attributes, forum relative strength of attachment to corresponding ones of the cognition-representing nodes, forum discourse type (e.g., debate versus harmony);

wherein the attributes related to the plural cognition-representing nodes include at least one of closeness to other ones of the plural cognition-representing nodes, number and/or types of forums attached to the respective cognition-representing nodes, number and/or types of users attached to the respective cognition-representing nodes.

204. :

The method of claim 203 wherein;

the attribute-differentiated spatial spaces include at least one of;

a topic space; and

a co-compatibility scoring space.

205. :

The method of claim 203 wherein;

the attribute-differentiated hierarchically ordered spaces include at least one of;

a topic space.

206. :

The method of claim 203 wherein;

the automatically repeated determinings of the attributes related to the plural users include determinings of recent attributes of the respective users, where recency of such recent attributes of respective users includes at least one of;

having been true no more than 3 hours prior to said determination of the respective user attribute; and

having been true no more than a determined time duration prior to said determination of the user attribute, the determined time duration being determined based on a currently active profile characterizing the respective user.

207. :

The method of claim 203 wherein;

the automatically repeated determinings of the attributes related to the plural forums include determinings of recent attributes of the respective forums, where recency of such recent attributes of respective forums occur at predetermined forum attribute checkpoint times.

208. :

The method of claim 203 wherein;

the automatically repeated determinings of the attributes related to the plural cognition-representing nodes include determinings of recent attributes of the respective cognition-representing nodes, where recency of such recent attributes of respective cognition-representing nodes occur at predetermined node attribute checkpoint times.

222. :

The method of claim 221 wherein;

the respective proximate sensors and/or other situation indicators further provide;

(a.12) data indicative of current or recent content to which the respective user gave focused attention.

223. :

The method of claim 222 wherein;

the current or recent giving of focused attention is that which occurred;

not more than three hours before said automated determining of which, if any, of one or more informational and/or other offerings are or would likely be of interest or not is carried out;

or

within a time period automatically determined in accordance with an active profile of the respective user as to what constitutes recentness based on a respectively determined current situation of the respective user.

224. :

The method of claim 223 wherein;

the current or recent content to which the respective user gave focused attention includes graphic imagery.

225. :

The method of claim 224 and further comprising;

(d) causing an automatically repeated determining of which, if any, of plural topics are likely to be associated by the respective user with the graphic imagery which the respective user gave focused attention to, where the plural topics are represented by an organized mapping of topic nodes stored and maintained by the machine system and the mapped topic nodes are mapped to correspond to respective topics in respective coarse and more finely resolved manners.

226. :

The method of claim 225 wherein;

the graphic imagery is electronically provided imagery and the electronic provision of the graphic imagery includes provision of one or more meta-tags; and

said automatically repeated determining of which, if any, of plural topics are likely to be associated includes using one or more of the provided meta-tags.

227. :

The method of claim 221 wherein;

the current or recent situation-indicating data of the respective user is that which was generated;

not more than three hours before said automated determining of which, if any, of one or more informational and/or other offerings are or would likely be of interest or not is carried out;

or

within a time period automatically determined in accordance with an active profile of the respective user as to what constitutes recentness.

228. :

The method of claim 221 wherein;

(b.4a) said data indicative of current or recent preference and/or dislike attributes of the respective user include at least one of;

a preference or dislike for a profile-indicated friendship relation between the respective user and a to be automatically identified other of said one or more persons;

a preference or dislike for a profile-indicated age range of a to be automatically identified other or others of said one or more persons;

a preference or dislike for a profile-indicated gender of a to be automatically identified other or others of said one or more persons;

a preference or dislike for a profile-indicated socioeconomic class of a to be automatically identified other or others of said one or more persons;

a preference or dislike for a profile-indicated location or geographic distance of a to be automatically identified other or others of said one or more persons;

a preference or dislike for a profile-indicated profession of a to be automatically identified other or others of said one or more persons;

a preference or dislike for a profile-indicated religion and/or culture of a to be automatically identified other or others of said one or more persons;

a preference or dislike for a profile-indicated political affiliation and/or other group affiliation of a to be automatically identified other or others of said one or more persons;

a preference or dislike for a profile-indicated type of forum within which the respective user might interact with one or more of the to be automatically identified others of said one or more persons;

a preference or dislike for a profile-indicated one or more of topics, books, movies, URL'"'"'s, and/or games being favorites of the to be automatically identified others of said one or more persons and/or being dominant attributes of a corresponding forum within which the respective user might interact with one or more of the to be automatically identified others of said one or more persons;

a preference or dislike for a profile-indicated and rules-controlled one or more of situational dispositions currently associated with the respective user and/or with one or more of the to be automatically identified others of said one or more persons; and

a preference or dislike for a profile-indicated one or more of typical in-forum behavioral attributes currently associated with the respective user and/or with one or more of the to be automatically identified others of said one or more persons.

229. :

The method of claim 228 wherein;

at least one of said data indicated current or recent preference and/or dislike attributes is a graduated one having three or more levels or degrees of the corresponding attribute.

230. :

The method of claim 221 and further comprising;

(d) causing an automated forcing of one or more informational offerings onto the respective users based on the caused automated obtaining of the respective situational data and the caused automated using of the one or more of the respective profiles and/or planning files and/or history files and/or trending files of the respective users.

231. :

The method of claim 230 wherein;

the caused automated forcing is a function for each of the respective users of respective subscription levels of the respective users.

232. :

The method of claim 221 wherein;

the caused automated determining of which, if any, of one or more informational and/or other offerings are or would likely be of interest or not to the respective users is a function for each of the respective users of respective subscription levels of the respective users.

233. :

The method of claim 221 wherein;

the caused automated determining of which, if any, of one or more informational and/or other offerings are or would likely be of interest or not to the respective users is a function of at least one of normally-hidden codes embedded in content the respective user is determined to have been recently or currently focusing-upon where normally-hidden codes include at least one of;

a markup code,

a meta-tag,

a podcast embedded code,

a topic-hinting code,

a hierarchy navigation code,

a search-engine assisting code,

an attention-getting code,

a popularity engine tag,

a subject-matter categorizing code,

a hidden comment code, and

a content formatting code.

246. :

The method of claim 169 and further comprising;

causing one or more of the ranked cognition data resources or identities thereof to be presented to one or more of the respective users.

247. :

The method of claim 246 and further comprising;

causing pre-sorted ones of ranked and additionally sorted cognition data resources or identities thereof to be presented to one or more of the respective users.

248. :

The method of claim 98 wherein;

the location stamp is obtained on the basis of at least one of;

a GPS signal and a non-GPS location determining means.

249. :

The method of claim 248 wherein;

the non-GPS location determining means includes at least one;

a nearby RFID tag, one or more nearby pieces of equipment whose locations are predetermined;

pre-identified surrounding locations based on visual and/or sound data that is indicative of being for example, at home, in the office, on the road, alone, and in a crowd.

234. :

A machine-implemented method of automatically determining one or more situational dispositions of at least a first user of an automated machine system, where the at least first user is operatively monitored by one or more monitoring devices and where the to-be-determined one or more situational dispositions include at least an emotional disposition of the first user as associated with tangible and/or intangible surrounds then or recently made perceivable to the first user, the method comprising;

automatically and without need for the first user to provide attention to aid such monitoring, monitoring indicia indicative of at least one of the first user'"'"'s current or recent biometric and mental states;

automatically transmitting the monitored indicia and/or corresponding parameters of current or recent biometric and/or mental states derived therefrom to a data receiving portion of the automated machine system; and

automatically and without need for the first user to provide attention to aid such determining, determining what tangible and/or intangible surrounds are currently or were recently perceivable by the first user.

235. :

The method of claim 234 wherein;

at least one of the transmitted monitored indicia and/or corresponding parameters of current or recent biometric and/or mental states indicates a degree or level of emotional engagement of the first user with one or more of the tangible and/or intangible surrounds are currently or were recently perceivable by the first user.

236. :

The method of claim 234 wherein;

the respective one or more monitoring devices provide data indicative of current or recent content to which the respective user gave focused attention; and

the current or recent giving of focused attention is that which occurred;

not more than three hours before said automated determining of which, if any, of the tangible and/or intangible surrounds are currently or were recently perceivable by the first user is carried out;

or

within a time period automatically determined in accordance with an active profile of the respective user as to what constitutes recentness based on a respectively determined current situation of the respective user.

237. :

The method of claim 236 wherein;

the current or recent content to which the respective user gave focused attention includes graphic imagery.

238. :

The method of claim 237 and further comprising;

causing an automatically repeated determining of which, if any, of plural topics are likely to be associated by the respective user with the graphic imagery which the respective user gave focused attention to, where the plural topics are represented by an organized mapping of topic nodes stored and maintained by the machine system and the mapped topic nodes are mapped to correspond to respective topics in respective coarse and more finely resolved manners.

239. :

The method of claim 238 wherein;

the graphic imagery is electronically provided imagery and the electronic provision of the graphic imagery includes provision of one or more meta-tags; and

said automatically repeated determining of which, if any, of plural topics are likely to be associated includes using one or more of the provided meta-tags.

252. :

The method of claim 234 wherein;

said determining of what tangible and/or intangible surrounds are currently or were recently perceivable by the first user includes at least one of;

(a) automatically determining a framework from within which content that is currently or substantially immediately is or was perceivable by the first user is so perceivable, where the determined framework includes at least one of;

(a.1) an identity of a web site from which the content is or was obtainable;

(a.2) an identity of a communications channel from which the content is or was obtainable;

(a.3) an identity of a data file storage location from which the content is or was obtainable;

(a.4) an identity of a resource pathway defined between the first user'"'"'s content presentation device and a unique content providing resource and from which the content is or was obtainable;

(a.5) an identity of a unique pointer pointing to a unique source from which the content is or was obtainable;

(a.6) an identity of an engine through which the content is or was obtainable;

(a.7) an identity of an online forum through which the content is or was obtainable;

(a.8) an identity of a video source or audio source through which the content is or was obtainable;

(a.9) an identity of a specific frame from which the content is or was obtainable;

(a.10) an identity of and/or a set of machine executable instructions by way of which the content is or was obtainable;

(a.11) an indication of correlation between previously focused on content and a current offering;

(a.12) an indication of a gripping stress with which the first user is or was recently gripping a portable device;

(a.13) an indication of an angle at which the first user is or was recently holding the portable device relative to gravity;

(a.14) an indication of what mechanical stresses the first user is or was recently differentially applying to different parts of a portable device;

(a.15) an indication of whether the user is or was recently employing a public speaker mode as opposed to a private earpiece mode;

(a.16) an indication of how the first user is or was recently shaking his or her head and/or hand;

(a.17) an indication of a recent change of orientation of a handheld portable device associated with the first user;

(a.18) an indication that a banner was recently minimized or restored to non-minimized size;

(a.19) an indication that the first user recently explicitly voted on and/or explicitly expressed positive or negative interest respecting available content;

(a.20) an indication that the first user recently explicitly expressed at least one of;

a mood shift, a change of interest, a change of vote, an intensity of interest or of vote, a desire to browse a displayable hierarchy tree, and a desire change a topic of interest currently assigned to the first user.

240. :

A machine-implemented method of automatically identifying one or more informational resources that respectively are currently likely to, or would in the future likely be of interest to a respective one or more users of an automated machine system each at a respective time and/or a respective place of the respective user based on a corresponding one or more of determined situations and/or identified profiles and/or planning files (e.g., calendars) and/or history files and/or trending files of the respective users, which determined situations and/or identified profiles and/or planning files and/or history files and/or trending files correspond to information obtained from or about the respective users, the method comprising;

(a) causing an automated obtaining of respective situational data from respective sensors and/or other situation indicators that are proximate to or associated with respective ones of the users of the automated machine system, where the respective users of the machine system are ones who might be subsequently identified as automatically identified persons for whom the corresponding one or more informational resources are currently likely to, or would in the future likely be of current interest at corresponding times and/or corresponding places,

wherein the respective proximate sensors and/or other situation indicators that are proximate to or associated with the respective ones of the users respectively provide at least one of;

(a.1) data indicative of a current or recent one or more surroundings and/or of a current or recent one or more locations and/or of a current or recent one or more temporal positions and/or one or more availabilities and/or of a current or recent one or more changes of surrounding, and/or changes of location of the respective user;

(a.2) data indicative of a current or recent mood or of a current or recent one or more changes of mood of the respective user;

(a.3) data indicative of a current or recent one or more biometric attributes of, and/or of a current or recent one or more changes of biometric attributes of the respective user;

(a.4) data indicative of a current or recent one or more machine usage activities and/or one or more machine usage states of the respective user;

(a.5) data indicative of a current or recent mental state of, and/or of one or more current or recent changes of a mental state of the first user;

(a.6) data indicative of a current or recent one or more body language gestures made by the respective user;

(a.7) data indicative of a current or recent one or more body postures and/or biomechanical states of, and/or of a current or recent one or more changes of body posture and/or biomechanical state of the respective user;

(a.8) data indicative of a current or recent one or more biochemical states of, and/or of a current or recent one or more changes of biochemical state of the respective user;

(a.9) data indicative of a current or recent one or more physiological states of the respective user;

(a.10) data indicative of a current or recent one or more frames or states of mind of, and/or of a current or recent one or more changes of frame or state of mind of the respective user; and

(a.11) data indicative of a current or recent one or more emotional states of, and/or of a current or recent one or more changes of emotional state of the respective user; and

(a.12) data indicative of a current or recent or expected in future one or more dislikes or negative votings of the respective users;

(b) causing an automated using of one or more of respective, identified and predetermined profiles and/or planning files and/or history files and/or trending files of the respective users, where the used one or more of respective profiles and/or planning files and/or history files and/or trending files of the respective users respectively provide at least one of;

(b.1) data indicative of current or recent demographic attributes of the respective user;

(b.2) data indicative of current or recent reputation attributes of the respective user;

(b.3) data indicative of current or recent credential attributes of the respective user;

(b.4) data indicative of current or recent preference and/or dislike attributes of the respective user;

(b.5) data indicative of current or recent favorites of the respective user;

(b.6) data indicative of current or recent topic trends of the respective user;

(b.7) data indicative of current or recent keyword histories of the respective user;

(b.8) data indicative of current or recent URL histories of the respective user;

(b.9) data indicative of current or recent machine usage histories of the respective user;

(b.10) data indicative of current or recent physical locations-visited histories of the respective user;

(b.11) data indicative of current or recent virtual forums-visited histories of the respective user;

(b.12) data indicative of current or recent topics touched-on histories of the respective user;

(b.13) data indicative of current or recent personal expression attributes of the respective user;

(b.14) data indicative of current calendared events of the respective user;

(b.15) data indicative of current to-do tasks and/or priorities thereof for the respective user;

(b.16) data indicative of current persons-to-contact tasks of the respective user; and

(b.17) data indicative of currently open or closed availability time slots of the respective user; and

(c) causing an automated determining of which, if any, of one or more of informational resources are currently or would likely be of interest or not to the respective users at corresponding times and/or places based on the caused automated obtaining of the respective situational data and/or based on the caused automated using of the one or more of the respective profiles and/or planning files and/or history files and/or trending files of the respective users.

241. :

The method of claim 240 wherein;

the one or more of informational resources include at least one of;

popular and for-topic URL'"'"'s and/or other resource access identifiers;

expert-favored and for-topic URL'"'"'s and/or other resource access identifiers;

popular and for-topic keywords;

expert-favored and for-topic keywords;

popular and for-topic meta-tags; and

expert-favored and for-topic meta-tags.

242. :

The method of claim 240 wherein;

the one or more of informational resources include for-node and ranked hinting information,

where said hinting information is that associated with current and/or recent focus indicators of respective user that are currently or were recently logically linked by the machine system to a corresponding node among a plurality of nodes maintained by the machine system as part of a stored and organized mapping of cognition-representing nodes, where the mapped nodes are hierarchically mapped to correspond to respective cognition-representations of respective coarse and more finely resolved natures; and

where said ranked hinting information is pre-ranked in accordance with at least one of the following ranking criteria;

more popular among lay users;

more preferred by credentialed experts; and

more preferred by users having relatively high reputation scores at least for the node that the corresponding hinting information is for.

243. :

The method of claim 242 wherein;

the ranked hinting information is additionally sorted in accordance with ranking scores given in respective categories of hinting information.

244. :

The method of claim 243 and further comprising;

causing pre-sorted ones of ranked and additionally sorted hinting information items to be presented to one or more of the respective users.

245. :

The method of claim 242 and further comprising;

causing one or more of the ranked hinting information items to be presented to one or more of the respective users.

250. :

The method of claim 240 wherein;

the automated determining of which, if any, of one or more of informational resources are currently or would likely be of interest or not to one or more of the respective users at corresponding times and/or places include at least one of;

(c.1) determining a recommended special activity based on the caused automated obtaining of the respective situational data and/or the caused automated using of the one or more of the respective profiles and/or planning files and/or history files and/or trending files of the one or more respective users;

(c.2) using priority data obtained from a planning file of the respective user.

251. :

The method of claim 250 wherein;

the recommended special activity includes at least one of;

(c.1a) What is recommended as an activity IF My (the respective user'"'"'s) Location is a current or specified location;

(c.1b) What is recommended as an activity IF My (the respective user'"'"'s) Surrounding Weather Condition is a current or specified weather condition;

(c.1c) What is recommended as an activity IF My (the respective user'"'"'s) Time-based Context is a current or specified time-based context;

(c.1d) What is recommended as an activity IF an Organization I (the respective user) Currently Belong to is a profile-determined or otherwise specified organization;

(c.1e) What is recommended as a sports and/or other non-virtual activity IF My (the respective user'"'"'s) situational disposition is a profile-determined or otherwise specified disposition; and

(c.1f) What is recommended as an activity IF an Organization I (the respective user) Currently Belong to is a profile-determined or otherwise specified organization AND My (the respective user'"'"'s) Location is a current or specified location.

253. :

The method of claim 240 and further comprising;

causing an automated hiding from one or more of the respective users of corresponding informational resources that are determined, based on said caused automated obtaining of the respective situational data and/or based on said caused automated using of the one or more of the respective profiles and/or planning files and/or history files and/or trending files of the respective users, to be likely currently or recently disliked by the one or more of the respective users and/or to be likely currently or recently of least interest to the one or more of the respective users.

254. :

A machine-implemented method of automatically reducing or preventing informational clutter in an information presenting area controlled by corresponding code executing within a machine system, the method comprising;

(a) causing a repeated automatic determining of a current or recent situational disposition of a user of the machine system;

(b) based on a most recent one or more of the repeated automatic determinings of user situational disposition, causing an automatic determining of currently active dislikes or undesirabilities of the user;

(c) causing a generating of respective ranking scores for respective ones of informational items that are candidates for presentation within the controlled information presenting area, the caused generating of the respective ranking scores including a reducing of rankings of those of the candidates which correlate with the currently active dislikes or undesirabilities of the user; and

(d) causing a limited presentation in the controlled information presenting area of only those of the candidates which are the highest N scoring candidates among all scored candidates, N being a predetermined integer greater than zero, or causing an exclusion from the controlled information presenting area of those of the candidates which correlate with the currently active dislikes or undesirabilities of the user.

255. :

The method of claim 254 and further comprising;

causing the limited presentation in the controlled information presenting area to be based on currently active likes of the user as well as currently active dislikes or undesirabilities.

256. :

The method of claim 254 wherein a time duration deemed to be recent is at least one of;

not more than 3 hours before hand;

not more than 5 minutes before hand;

a latest time duration determined by an active profile of the user as being a recent one.

257. :

A machine-implemented method of automatically mapping personal dispositions and/or interpersonal exchange dispositions that are ongoing or are likely to soon be entered into for two or more users of a machine system where the automatic mapping is relative to one or more cognitive-disposition defining spaces each of which spaces indicates at least one of a respective hierarchical organizational relationship and distancing relationship between possible cognitive dispositions of the users individually or as interpersonal exchange groups, the method comprising;

(a) causing a maintaining in a memory of the machine system, of a first representation of a respective first cognitive-dispositions defining space having respective first nodes that are logically linked one to another at least hierarchically or spatially;

(b) causing a maintaining in a memory of the machine system, of a second representation of a respective second cognitive-dispositions defining space having respective second nodes that are logically interrelated one to another at least by represented logical distances between the second nodes within the second cognitive-states defining space;

(c) causing a repeated automatic and respective ascribing to at least two of the users of the machine system and by the machine system of respective likely positions within at least one of the first cognitive-dispositions defining space and the second cognitive-dispositions defining space based on repeatedly automatically collected physical disposition data currently or recently collected from the at least two users.

258. :

The method of claim 257 wherein said respective and caused maintainings of the first and second cognitive-dispositions defining space respectively each includes;

automatically repeatedly updating the hierarchical or spatial organizings or represented logical distancings of the nodes in the respective space based on more recently acquired data corresponding to respective ones of the nodes, the more recently acquired data being more recent than previous data previously used to define the hierarchical or spatial organizations or represented logical distancings of the nodes in the respective space.

259. :

The method of claim 258 wherein the more recently acquired data includes at least one of;

current focus indicator signals (CFi'"'"'s) recently received from respective devices associated with respective ones of the two or more users of a machine system;

explicit or implicit voting signals (CVi'"'"'s) recently received from respective devices associated with respective ones of the two or more users of a machine system;

node-specific group statistics derived from recent CFi upload streams of users who touch on respective nodes of at least one of the spaces; and

node-specific group demographic statistics derived from recent active profiles of users who touch on respective nodes of at least one of the spaces.

260. :

The method of claim 259 wherein the automatically maintained and updated hierarchical or spatial organizations or represented logical distancings of the respective nodes in the respective spaces represent at least one of;

a child parent relationship as between hierarchically organized nodes;

a closer or farther apart relationship between spatially organized nodes;

a closer or farther apart relationship between a given user and a corresponding node within a respective space;

a closer or farther apart relationship between a given group of users and a corresponding node within a respective space; and

a closer or farther apart relationship between a given user and a given group of other users within a respective space.

261. :

The method of claim 257 wherein at least one of the maintained cognitive-disposition defining spaces is a hybrid space that simultaneously maps at least two of hierarchical organizings of, or spatial organizings of, or represented logical distancings as between the nodes of the respective space and/or as between users virtually touching on the nodes of the respective space.

262. :

The method of claim 257 wherein at least one of the maintained cognitive-disposition defining spaces maps logical distancings as between the nodes of the respective space and/or as between users virtually touching on the nodes of the respective space based on at least one of;

individual or group demographics;

individual or group reputations;

individual or group credentials;

individual or group favorites; and

knowledge base scoring rules.

263. :

A machine-implemented method of automatically changing user profiles used for automatically determining what information to show and not show to a user of an automated machine system, the method comprising;

(a) causing a repeated automatic determining of a current or recent situational disposition of a user of the machine system; and

(b) based on a more recent one or more of the repeated automatic determinings of user situational disposition, causing an automatic determining of at least one currently active profile of the user.

264. :

The method of claim 263 wherein the at least one currently active profile of the user is at least one of;

a current personhood profile of the user;

a current domain specific profile of the user; and

a current personal expressions profile of the user.

265. :

The method of claim 264 wherein the current personhood profile of the user specifies at least one of;

currently effective demographic attributes of the user;

currently effective reputation attributes of the user;

currently effective credentials of the user;

currently effective knowledge base scoring rules and/or status switching rules for the user;

currently effective positive and/or negative interaction co-compatibilities of the user;

currently effective positive and/or negative forum preferences of the user; and

currently effective favorites and/or dislikes of the user.

266. :

The method of claim 264 wherein the current domain specific profile of the user specifies at least one of;

a currently effective order of likelihood of different domains within a cognitive-disposition defining space that the user is likely to be currently focusing-upon;

a currently effective order of likelihood of different subdomains within a given domain of a cognitive-disposition defining space that the user is likely to be currently focusing-upon;

a recent set of search keywords used by the user in conjunction with one or more of different domains and subdomains within a cognitive-disposition defining space that is maintained within the automated machine system;

a recent set of meta-tags referenced by the user in conjunction with one or more of different domains and subdomains within a cognitive-disposition defining space that is maintained within the automated machine system;

currently effective positive and/or negative forum preferences of the user where the forum preferences are for forums directed to domains or subdomains specified within the current domain specific profile; and

currently effective knowledge base scoring rules and/or status switching rules for the user where the knowledge base scoring rules and/or status switching rules are based on universal resource identifiers, meta-tags and/or search keywords specified within the current domain specific profile.

267. :

The method of claim 264 wherein the current personal expressions profile of the user specifies at least one of;

a currently effective order of likelihood of different biometric classes that are currently likely to indicate an emotional and/or other biometrically-related disposition of the user;

for a respective one or more of the different biometric classes, a currently effective set and/or order of effectiveness of biometric attributes that are associated with the respective biometric class so as to be effectively indicative of an emotional and/or other biometrically-related disposition of the user;

for a respective one or more of the different biometric classes and/or for a respective one or more of the associated biometric attributes, a currently effective latency time indicative of a normal time stretch between when the user internally undergoes a change of mood, of emotion or of another disposition and when the change is expressed by the respectively associated biometric class and/or biometric attribute;

for a respective one or more of the different biometric classes and/or for a respective one or more of the associated biometric attributes, a currently effectively correlated mental state of the user that correlates with the way the respective biometric class or biometric attribute is being expressed by the user;

for a respective one or more of the different biometric classes and/or for a respective one or more of the associated biometric attributes, a currently effectively correlated keyword that correlates with the way the respective biometric class or biometric attribute is being expressed by the user;

a set of one or more knowledge base rules (KBR'"'"'s) for automatically determining correlations between externally measurable or detectable expressions of the user and currently effective mental states and/or biometric states of the user and/or for automatically determining that a switch is to be carried out to using another personal expressions profile as the currently active one of the user.

268. :

The method of claim 267 wherein the knowledge base rules (KBR'"'"'s) are responsive to at least one of;

change of surroundings of the user;

change of data processing resources available to the user;

change of social setting of the user;

change of temporal disposition of the user;

change of heart rate of the user;

change of posture of the user;

change of reading rate of the user;

change of eye dilation of the user;

change of note making status of the user;

change of respiration rate of the user;

change of inhalation depth of the user;

change of blood pressure of the user;

change of oxygen saturation level of the user;

change of eye sweep rate of the user;

change of rate of invitation acceptances of the user;

time span of focused activity by the user;

auditory expressions and/or visual gestures of the user; and

apparent topic of interest of the user or type of topic and/or general domain to which currently focused upon content of the user belongs.

269. :

The method of claim 267 wherein the knowledge base rules (KBR'"'"'s) additionally indicate how to currently parse and group current focus indicator signals of the user.

270. :

A machine-implemented, context indicating method for indicating a probable one or more contexts of a user of a machine system, the method comprising;

(a) automatically repeatedly collecting temporally and spatially related sensory signals that report on at least one of;

current or change of surroundings of the user;

current or change of temporal disposition of the user;

current or change of data processing resources available to the user;

current or change of social setting of the user;

current or biometric states of the user;

current or change of facial expressions and/or gestures of the user;

current or change of posture of the user;

current or change of content being focused-upon by the user;

current or change of sound levels to which the user is exposed;

(b) in response to current or recent ones of the collected sensory signals, automatically repeatedly determining at least one of;

one or more current and likely emotional and/or other mental states of the user;

a current one or more topics that the user is likely focusing-upon;

a current one or more co-compatibilities for interaction between the user and other users of the machine system; and

(c) transmitting over a network, data indicative of at least one of;

the currently or recently collected sensory signals;

the determined as current, one or more likely emotional and/or other mental states of the user;

the determined as current, one or more likely topics of focus of the user; and

the determined as current, one or more co-compatibilities of the user.

271. :

The method of claim 270 wherein;

the network over which said data is transmitted includes one or more domain lookup servers each operatively coupled to a respective domains configuration storage where the respective domains configuration storage stores data representative of a respective set of domain and subdomain nodes organized hierarchically and/or spatially and/or as interrelated by logical distancings and the respective domain lookup server is configured to receive and send data signals to other components within network.

272. :

The method of claim 271 wherein;

at least two of the domain lookup servers are respectively situated in geographically spaced apart locations and the respective domains configuration storages of the geographically spaced apart domain lookup servers store data for respectively different representations of how the respective set of domain and subdomain nodes are organized.

273. :

The method of claim 271 wherein;

at least one of the domains configuration storage is organized to include at least two of;

a catch-all domain,

a domain or subdomain providing recommendation data for the question of;

What is recommended as an activity IF My Current Location is X, where X designates a geographic location;

a subdomain providing recommendation data for the qualifier of;

And IF My Current Temporal Situation is Y, where Y designates a temporal situation such as morning versus other parts of a day, such as lunch time versus other meal times of a day, such as weekend versus other parts of a week, such as holiday versus nonholiday parts of the year;

a subdomain providing recommendation data for the qualifier of;

And IF My Surrounding Weather Condition is W, where W designates a surrounding weather condition;

a domain or subdomain providing recommendation data for at least one activity in the group consisting of;

places to eat at;

entertainment activities to enjoy;

sightseeing activities to enjoy;

exercise activities to enjoy;

a domain or subdomain providing recommendation data for at least one activity in the group consisting of;

inter-organizational activities or projects to participate in; and

physical group activities to participate in.

274. :

The method of claim 271 wherein;

the network over which said data is transmitted includes one or more domain matching servers each operatively coupled to a respective users profile storage where the respective users profile storage stores data representative of a respective set of currently active and/or activatable profiles of respective users of the machine system and the respective domain matching server is configured to receive and send data signals to other components within network.