Methods using social topical adaptive networking system
First Claim
1. A machine-implemented method of dynamically associating with corresponding content, one or more persons for whom the corresponding content is likely to be in the present, or would likely be in the future of interest at a corresponding time and/or a corresponding place based on a corresponding one or more of determined current or recent situations and/or identified profiles and/or votes and/or declarations and/or planning files and/or history files and/or trending files of the associated one or more persons, where said determined current or recent situations and/or identified profiles and/or votes and/or declarations and/or planning files and/or history files and/or trending files correspond to information automatically repeatedly obtained from or about the associated persons, the method comprising:
- (a) causing an automated and automatically repeated obtaining of respective situational data from respective sensors and/or other situation indicators that are operatively proximate to or associated with respective ones of users of an automated machine system,wherein the respective proximate sensors and/or other situation indicators that are operatively proximate to or associated with the respective ones of the users respectively provide at least one of;
(a1) 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;
(a2) data indicative of a current or recent mood or of a current or recent one or more changes of mood of the respective user;
(a3) 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;
(a4) 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;
(a5) 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;
(a6) data indicative of a current or recent one or more body language gestures made by the respective user;
(a7) 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;
(a8) 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;
(a9) data indicative of a current or recent one or more physiological states of the respective user;
(a10) 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;
(a11) 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;
(a12) data providing hints or clues for identifying specific cognition nodes relevant to a current or recent state of mind of the respective user;
(a13) data indicative of a current or recent involvement of the respective user with corresponding content;
(a14) data indicative of a current or recent vote cast implicitly or explicitly by the respective user; and
(a15) data indicative of a current or recent declaration made by the respective user;
(b) causing an automated and automatically repeated using of one or more of respective currently active profiles and/or current or recent votes and/or current or recent declarations and/or planning files and/or history files and/or trending files of the respective users, the currently active profiles being respectively selected subsets of respective plural profiles assigned for each of the respective users, where the used one or more respective currently active profiles and/or current or recent votes and/or current or recent declarations and/or planning files and/or history files and/or trending files of the respective users respectively provide at least one of;
(b1) data indicative of current or recent demographic attributes of the respective user;
(b2) data indicative of current or recent reputation attributes of the respective user;
(b3) data indicative of current or recent credential attributes of the respective user;
(b4) data indicative of current or recent preference and/or dislike attributes of the respective user;
(b5) data indicative of current or recent favorites of the respective user;
(b6) data indicative of current or recent topic trends of the respective user;
(b7) data indicative of current or recent keyword histories of the respective user;
(b8) data indicative of current or recent URL histories of the respective user;
(b9) data indicative of current or recent machine usage histories of the respective user;
(b10) data indicative of current or recent physical locations-visited histories of the respective user;
(b11) data indicative of current or recent virtual forums-visited histories of the respective user;
(b12) data indicative of current or recent topics touched-on histories of the respective user;
(b13) data indicative of current or recent personal expression attributes of the respective user;
(b14) data indicative of current calendared events of the respective user;
(b15) data indicative of current to-do tasks and/or priorities thereof for the respective user;
(b16) data indicative of current persons-to-contact tasks of the respective user;
(b17) data indicative of currently open or closed availability time slots of the respective user;
(b18) data indicative of currently or recently cast votes of the respective user showing engagement with corresponding content; and
(b19) data indicative of currently or recently made declarations by the respective user regarding the respective user'"'"'s emotional and/or physiological state; and
(c) causing an automated and automatically repeated determining of which, if any, of one or more items of dynamically associable and corresponding content are likely or would likely be of interest or not of interest to the respective users at corresponding times and/or places based on the caused automated and automatically repeated obtaining of the respective situational data and based on the caused automated and automatically repeated using of the one or more of the respective currently active profiles and/or current or recent votes and/or current or recent declarations and/or planning files and/or history files and/or trending files of the respective users;
wherein the machine system provides an organized mapping of plural topics that 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 within at least one of a respective hierarchical tree of topic nodes and a respective topic space populated by topic nodes; and
wherein the automated and automatically repeated determining of which, if any, of one or more items of dynamically associable and corresponding content are likely in the present or would likely be in the future of interest or not of interest to the respective users at corresponding times and/or places is also based on an automatically repeated using of the organized mapping of plural topics.
2 Assignments
0 Petitions
Accused Products
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.
263 Citations
260 Claims
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1. A machine-implemented method of dynamically associating with corresponding content, one or more persons for whom the corresponding content is likely to be in the present, or would likely be in the future of interest at a corresponding time and/or a corresponding place based on a corresponding one or more of determined current or recent situations and/or identified profiles and/or votes and/or declarations and/or planning files and/or history files and/or trending files of the associated one or more persons, where said determined current or recent situations and/or identified profiles and/or votes and/or declarations and/or planning files and/or history files and/or trending files correspond to information automatically repeatedly obtained from or about the associated persons, the method comprising:
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(a) causing an automated and automatically repeated obtaining of respective situational data from respective sensors and/or other situation indicators that are operatively proximate to or associated with respective ones of users of an automated machine system, wherein the respective proximate sensors and/or other situation indicators that are operatively proximate to or associated with the respective ones of the users respectively provide at least one of; (a1) 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; (a2) data indicative of a current or recent mood or of a current or recent one or more changes of mood of the respective user; (a3) 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; (a4) 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; (a5) 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; (a6) data indicative of a current or recent one or more body language gestures made by the respective user; (a7) 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; (a8) 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; (a9) data indicative of a current or recent one or more physiological states of the respective user; (a10) 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; (a11) 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; (a12) data providing hints or clues for identifying specific cognition nodes relevant to a current or recent state of mind of the respective user; (a13) data indicative of a current or recent involvement of the respective user with corresponding content; (a14) data indicative of a current or recent vote cast implicitly or explicitly by the respective user; and (a15) data indicative of a current or recent declaration made by the respective user; (b) causing an automated and automatically repeated using of one or more of respective currently active profiles and/or current or recent votes and/or current or recent declarations and/or planning files and/or history files and/or trending files of the respective users, the currently active profiles being respectively selected subsets of respective plural profiles assigned for each of the respective users, where the used one or more respective currently active profiles and/or current or recent votes and/or current or recent declarations and/or planning files and/or history files and/or trending files of the respective users respectively provide at least one of; (b1) data indicative of current or recent demographic attributes of the respective user; (b2) data indicative of current or recent reputation attributes of the respective user; (b3) data indicative of current or recent credential attributes of the respective user; (b4) data indicative of current or recent preference and/or dislike attributes of the respective user; (b5) data indicative of current or recent favorites of the respective user; (b6) data indicative of current or recent topic trends of the respective user; (b7) data indicative of current or recent keyword histories of the respective user; (b8) data indicative of current or recent URL histories of the respective user; (b9) data indicative of current or recent machine usage histories of the respective user; (b10) data indicative of current or recent physical locations-visited histories of the respective user; (b11) data indicative of current or recent virtual forums-visited histories of the respective user; (b12) data indicative of current or recent topics touched-on histories of the respective user; (b13) data indicative of current or recent personal expression attributes of the respective user; (b14) data indicative of current calendared events of the respective user; (b15) data indicative of current to-do tasks and/or priorities thereof for the respective user; (b16) data indicative of current persons-to-contact tasks of the respective user; (b17) data indicative of currently open or closed availability time slots of the respective user; (b18) data indicative of currently or recently cast votes of the respective user showing engagement with corresponding content; and (b19) data indicative of currently or recently made declarations by the respective user regarding the respective user'"'"'s emotional and/or physiological state; and (c) causing an automated and automatically repeated determining of which, if any, of one or more items of dynamically associable and corresponding content are likely or would likely be of interest or not of interest to the respective users at corresponding times and/or places based on the caused automated and automatically repeated obtaining of the respective situational data and based on the caused automated and automatically repeated using of the one or more of the respective currently active profiles and/or current or recent votes and/or current or recent declarations and/or planning files and/or history files and/or trending files of the respective users; wherein the machine system provides an organized mapping of plural topics that 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 within at least one of a respective hierarchical tree of topic nodes and a respective topic space populated by topic nodes; and wherein the automated and automatically repeated determining of which, if any, of one or more items of dynamically associable and corresponding content are likely in the present or would likely be in the future of interest or not of interest to the respective users at corresponding times and/or places is also based on an automatically repeated using of the organized mapping of plural topics. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135)
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136. A machine-implemented method of automatically identifying one or more informational resources that respectively are currently likely to be of interest or not of interest, or would in the future likely be of interest or not 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 votes and/or declarations and/or planning files and/or history files and/or trending files of the respective users, which determined situations and/or identified profiles and/or votes and/or declarations and/or planning files and/or history files and/or trending files correspond to information automatically repeatedly obtained from or about the respective users, the method comprising:
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(a) causing an automated and automatically repeated obtaining of respective situational data from respective sensors and/or other situation indicators that are operatively proximate to or associated with respective ones of the users of the automated machine system, wherein utilized ones of the respective proximate sensors and/or other situation indicators that are operatively proximate to or associated with the respective ones of the users respectively provide at least one of; (a1) data indicative of a current or recent one or more surroundings of and/or indicative of a current or recent one or more locations of and/or of a current or recent one or more temporal dispositions of and/or one or more availabilities of and/or of a current or recent one or more changes of surrounding of, and/or current or recent changes of location of the respective user; (a2) data indicative of a current or recent mood of or of a current or recent one or more changes of mood of the respective user; (a3) 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; (a4) data indicative of a current or recent one or more machine usage activities of and/or one or more machine usage states of the respective user; (a5) 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; (a7) 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; (a8) 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; (a9) data indicative of a current or recent one or more physiological states of the respective user; (a10) 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; (a11) 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 (a12) 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 and automatically repeated using of one or more of respective and currently active profiles and/or current or recent votes and/or current or recent declarations and/or current planning files and/or current or recent history files and/or current or recent trending files of the respective users, where the used one or more of respective and currently active profiles and/or current or recent votes and/or current or recent declarations and/or current planning files and/or current or recent history files and/or current or recent trending files of the respective users respectively provide at least one of; (b1) data indicative of current or recent demographic attributes of the respective user; (b2) data indicative of current or recent reputation attributes of the respective user; (b3) data indicative of current or recent credential attributes of the respective user; (b4) data indicative of current or recent preference attributes and/or dislike attributes of the respective user; (b5) data indicative of current or recent favorites attributes of the respective user; (b6) data indicative of current or recent topic trends of the respective user; (b7) data indicative of current or recent keyword histories of the respective user; (b8) data indicative of current or recent URL histories of the respective user; (b9) data indicative of current or recent machine usage histories of the respective user; (b10) data indicative of current or recent physical locations-visited histories of the respective user; (b11) data indicative of current or recent virtual forums-visited histories of the respective user; (b12) data indicative of current or recent topics touched-on histories of the respective user; (b13) data indicative of current or recent personal expression attributes of the respective user; (b14) data indicative of current calendared events of the respective user; (b15) data indicative of current to-do tasks and/or priorities thereof for the respective user; (b16) data indicative of current persons-to-contact tasks of the respective user; and (b17) data indicative of currently open or closed availability time slots of the respective user; and (c) causing an automated and automatically repeated identifying of which, if any, of one or more of informational resources are currently likely be of interest or not of interest or would likely be of interest or not of interest to the respective users at corresponding times and/or places based on the caused automated and automatically repeated obtaining of the respective situational data and based on the caused automated and automatically repeated using of at least one of the one or more of the respective and currently active profiles and further based on the caused automated and automatically repeated using of one or more of the current or recent votes and/or current or recent declarations and/or current planning files and/or current or recent history files and/or current or recent trending files of the respective users, where the used one or more of respective and currently active profiles of the respective users includes at least one currently active one of; (c1) a personal emotion expression profile (PEEP) of the respective user; (c2) a personhood defining profile of the respective user; and (c3) a domain specific preferences profile of the respective user; wherein a time duration deemed to be recent rather than current is at least one of; not more than 3 hours before hand; not more than 10 minutes before hand; and a latest time duration determined by a currently active profile of the user as being a recent one. - View Dependent Claims (137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180)
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181. 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 machine-implemented method comprising:
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(a) causing an automatically 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 automatically 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 automatically determined currently active dislikes or undesirabilities of the user; (d) causing at least one of; (d1) 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, and (d2) causing an exclusion from the controlled information presenting area of those of the candidates which correlate with the automatically determined currently active dislikes or undesirabilities of the user; and 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; wherein a time duration deemed to be recent is at least one of; not more than 3 hours before hand; not more than 10 minutes before hand; a latest time duration determined by an active profile of the user as being a recent one. - View Dependent Claims (182, 183)
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184. A machine-implemented method of automatically signaling with regard to personal dispositions and/or interpersonal exchange dispositions that are ongoing or are likely to soon be entered into for at least first and second users of a machine system where the automatic signaling is based on automatically repeated mapping of such personal dispositions and/or interpersonal exchange dispositions 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 probable cognitive dispositions of the at least first and second users taken individually or as taken relative to one or more information exchange groups, the method comprising:
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(a) causing a maintaining in a memory of the machine system, of a first representation of, and an automatically repeated updating 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, and an automatically repeated updating 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 an automatically repeated automatic and respective ascribing to at least the first and second users of the machine system and by the machine system of at least one of respective likely positions and ascribed user-to-user linking distances 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 respective sensors respectively proximate to the at least first and second users; and (d) causing a signaling to automated equipment of at least one user of the machine system of a linkage to an information providing resource that is likely to be beneficial to that at least one user and is likely to be available to the at least one user, the signaling of the linkage being based on said ascribing to at least the first and second users of the at least one of respective likely positions and user-to-user linking distances; 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 respective nodes in the respective space based on more recently acquired data corresponding to respective ones of the respective 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 respective nodes in the respective space. - View Dependent Claims (185, 186, 187, 188)
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189. A machine-implemented method of automatically changing user profiles and using the changed profiles for automatically determining what information to show and not show to a user of an automated machine system, the method comprising:
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(a) causing a repeated automatic determining of a current or recent situational disposition of a respective user of the machine system; (b) based on a more recent one or more of the repeated automatic determinings of situational disposition of the respective user, causing an automatic determining of at least a first profile as being a currently active profile of the respective user, the determined first profile being a member of a respective set of one or more other and currently inactive respective profiles which can alternatively be determined to be the currently active profile of the respective set and for the respective user, the at least first profile that is determined to be the currently active profile of its respective set providing at least one of information about current preferences and dislikes of the respective user and knowledge base rules including those about current preferences and dislikes of the respective user; and (c) using the information and/or knowledge base rules of the at least first profile that is determined to be the currently active profile of its respective set and for the respective user as a basis for automatically repeatedly determining what information to show and not show to the respective user; wherein said using of the at least first currently active profile of the respective user uses at least one of; a currently active personhood profile of the respective user; a currently active domain specific profile of the respective user; and a currently active personal expressions profile of the respective user; and wherein the used at least first currently active profile of the respective user includes the currently active personhood profile of the respective user and said used currently active personhood profile specifies at least one of; currently effective demographic attributes of the respective user; currently effective reputation attributes of the respective user; currently effective credentials of the respective user; currently effective knowledge base scoring rules and/or status switching rules for the respective user; currently effective positive and/or negative interaction co-compatibilities of the respective user; currently effective positive and/or negative forum preferences of the respective user; and currently effective favorites and/or dislikes of the respective user. - View Dependent Claims (190, 191, 192, 193)
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194. A machine-implemented, context indicating method for indicating a probable one or more current contexts of a user of a machine system, the method comprising:
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(a) automatically repeatedly collecting a plurality of temporally and spatially related sensory signals that report on at least one of;
current and/or change of surroundings of the user;
current and/or change of temporal disposition of the user;
current and/or change of data processing resources available to the user;
current and/or change of social setting of the user;
current and/or changing biometric states of the user;
current and/or change of facial expressions and/or gestures of the user;
current and/or change of postures of the user;
current and/or change of content being currently focused-upon by the user;
current and/or change of sound levels to which the user is exposed;(b) in response to current or recent ones of the automatically repeatedly collected plurality of sensory signals, automatically repeatedly determining at least one of;
one or more current and likely emotional and/or other current and likely mental states of the user;
a current one or more topics that the user is likely focusing-upon, the determined topics being represented by machine system maintained nodes organized as at least one of a hierarchical topics tree and a cognitions representing space whose spatial mapping includes a topics dimension;
currently active one or more co-compatibility attributes of the user indicating current likes or dislikes for interaction between the user and other users of the machine system based on corresponding co-compatibility attributes of the other users; and(c) transmitting over a network, data indicative of at least one of;
the determined as current, one or more likely emotional and/or one or more likely 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-compatibility attributes of the user, the transmitted indicative data being operative to indicate a probable one or more current contexts of the user;wherein a time duration deemed to be recent rather than current is at least one of; not more than 10 minutes before hand; and a latest time duration determined by a currently active profile of the user as being a recent one. - View Dependent Claims (195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205)
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206. An automated method comprising:
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dynamically associating one or more users with content based on machine system maintained domains where the maintained domains include; mappings of different topic nodes maintained by respective communities of users and the maintained domains additionally include at least one of; A) mappings of different social relations of users; B) mappings of different situation-based states of users; and C) mappings of different cognition nodes other than topic nodes, which cognition nodes are maintained by respective communities of users; wherein the maintained domains are automatically repeatedly updated by the machine system; and wherein the maintained domains are structured to allow for computation of in-domain closeness respectively as between different topic nodes mapped within a topic nodes organizing domain and to allow for computation of in-domain closeness respectively as between at least one pair of;
(A) different users as mapped within a social co-compatibility domain;
(B) different user states based on current situations of the respective users; and
(C) different other cognition nodes mapped within a respective nodes organizing domain for the other cognition nodes;wherein; the content is presented to the associated one or more persons on a pushed basis and on basis of an in-domain computation of closeness between each associated user to whom the content is to be optionally pushed and an in-domain mapped location of an identification of the content or of a group of other users to whom the content is to be optionally pushed or of a user pre-linked to that content. - View Dependent Claims (207, 208, 209, 210, 211)
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212. A credibility weighted method that automatically links one or more first users of an automated machine system to one or more other users of the machine system and/or to one or more informational resources maintained by the machine system and linked with one or more other users of the machine system, where the linked to other users and/or the informational resources linked with the one or more other users are automatically repeatedly identified as being currently likely of interest or not of interest or in the future likely to be of focal interest or not of interest to a respective one or more of the first users, each at a respective time and/or a respective place of the respective first user based on a corresponding one or more of automatically repeatedly determined situations of the respective first user and based on automatically repeatedly identified as currently active profiles of the respective first user, the method comprising:
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(a) causing an automated and automatically repeated obtaining of respective situational data from respective sensors and/or other situation indicators that are operatively proximate to or associated with respective ones of the first users of the automated machine system and further causing an automated and automatically repeated using of the obtained situational data and/or the other situation indicators to determine current or recent situations of the respective first users; (b) causing an automated and automatically repeated using of one or more of respective and deemed as currently active profiles of the respective first users, the currently active profiles being respectively selected subsets of respective plural profiles assigned for each of the respective first users, where selection of the currently active profiles is based on the determined current or recent situations of the respective first users and where the used one or more respective and currently active profiles of each respective first user provide at least one of; (b1) data indicative of current or recent reputation attributes of the respective first user; and (b2) data indicative of current or recent credential attributes of the respective first user, the credential attributes demonstrating credentialed competence relating to one or more areas of knowledge; (b3) data indicative of preferences and/or dislikes of the respective first user regarding current or recent reputation attributes of the other users and/or reputation attributes of the informational resources maintained by the machine system, where the informational resources having such reputation attributes are linked to one or more of the other users; (b4) data indicative of preferences and/or dislikes of the respective first user regarding current or recent credential attributes of the other users and/or credential attributes of the informational resources maintained by the machine system, where the informational resources having such credential attributes are linked to one or more of the other users; (b5) data indicative of preferences and/or dislikes of the respective first user regarding current or recent on-topic proficiency attributes of the other users; and (b6) data indicative of current or recent on-topic proficiency attributes of the respective first user; and (c) causing an automated and automatically repeated determining of which, if any, of one or more of the other users of the machine system and/or one or more of the informational resources linked with the one or more other users and maintained by the machine system are currently likely to be of interest or not of interest or would likely be of interest or not of interest to the respective first users at corresponding times and/or places based on the caused automated and automatically repeated determining of current or recent respective situations of the respective first users and based on the caused automated and automatically repeated using of at least the one or more of the respective and currently active profiles of the respective first users; wherein said automatically repeated determining of current and/or future interest and disinterest makes use of at least one of the indicative data of at least one of above profile items (b1), (b2), (b3), (b4), (b5) and (b6) for ranking likelihoods that one or more of the other users of the machine system and/or one or more of the informational resources linked with the one or more other users and maintained by the machine system are currently likely to be of interest or not of interest or would likely be of interest or not of interest to the respective first users at corresponding times and/or places. - View Dependent Claims (213, 214, 215, 216, 217, 218, 219)
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220. A content worthwhileness scoring method that automatically scores shareable content according to how worthwhile it may be for respective users of a machine system to give attention to the shareable content, the method comprising:
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(a) automatically repeatedly determining one or more demographic attributes of respective, information contributing users of the machine system whose respective visitations to a respective cognition representing node maintained by the machine system and/or to a respective information exchange forum maintained by the machine system brings contributable data to the respectively visited node and/or forum as part of informational content automatically brought with the visitation due to node and forum maintaining operations of the machine system; and (b) automatically associating with a given item of contributable data, the determined demographic attributes of the respective, one or more information contributing users whose visitations automatically brought the respective item of contributable data to the respectively visited node and/or forum; wherein the contributable data is derived from uploaded Current Focus indicating (CFi) packages of the respective, information contributing users; and wherein the contributable data derived from the CFi packages includes at least one of;
aURL that is a current item of focus for the respective information contributing user, a keyword that is a current item of focus for the respective information contributing user, focused on content currently focused on by the respective information contributing user, a focused on subject-matter categorizing tag currently focused on by the respective information contributing user and a meta-tag buried within currently focused upon content of the respective information contributing user. - View Dependent Claims (221, 222, 223, 224)
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225. A machine-implemented method of dynamically associating with corresponding content, one or more persons for whom the corresponding content is likely to be in the present, or would likely be in the future of interest at a corresponding time and/or a corresponding place based on a corresponding one or more of determined current or recent situations and/or identified profiles and/or votes and/or declarations and/or planning files and/or history files and/or trending files of the associated one or more persons, where said determined current or recent situations and/or identified profiles and/or votes and/or declarations and/or planning files and/or history files and/or trending files correspond to information automatically repeatedly obtained from or about the associated persons, the method comprising:
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(a) causing an automated and automatically repeated obtaining of respective situational data from respective sensors and/or other situation indicators that are operatively proximate to or associated with respective ones of users of an automated machine system, wherein the respective proximate sensors and/or other situation indicators that are operatively proximate to or associated with the respective ones of the users respectively provide at least one of; (a1) 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; (a2) data indicative of a current or recent mood or of a current or recent one or more changes of mood of the respective user; (a3) 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; (a4) 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; (a5) 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; (a6) data indicative of a current or recent one or more body language gestures made by the respective user; (a7) 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; (a8) 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; (a9) data indicative of a current or recent one or more physiological states of the respective user; (a10) 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; (all) 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; (a12) data providing hints or clues for identifying specific cognition nodes relevant to a current or recent state of mind of the respective user; (a13) data indicative of a current or recent involvement of the respective user with corresponding content; (a14) data indicative of a current or recent vote cast implicitly or explicitly by the respective user; and (a15) data indicative of a current or recent declaration made by the respective user; (b) causing an automated and automatically repeated using of one or more of respective currently active profiles and/or current or recent votes and/or current or recent declarations and/or planning files and/or history files and/or trending files of the respective users, the currently active profiles being respectively selected subsets of respective plural profiles assigned for each of the respective users, where the used one or more respective currently active profiles and/or current or recent votes and/or current or recent declarations and/or planning files and/or history files and/or trending files of the respective users respectively provide at least one of; (b1) data indicative of current or recent demographic attributes of the respective user; (b2) data indicative of current or recent reputation attributes of the respective user; (b3) data indicative of current or recent credential attributes of the respective user; (b4) data indicative of current or recent preference and/or dislike attributes of the respective user; (b5) data indicative of current or recent favorites of the respective user; (b6) data indicative of current or recent topic trends of the respective user; (b7) data indicative of current or recent keyword histories of the respective user; (b8) data indicative of current or recent URL histories of the respective user; (b9) data indicative of current or recent machine usage histories of the respective user; (b10) data indicative of current or recent physical locations-visited histories of the respective user; (b11) data indicative of current or recent virtual forums-visited histories of the respective user; (b12) data indicative of current or recent topics touched-on histories of the respective user; (b13) data indicative of current or recent personal expression attributes of the respective user; (b14) data indicative of current calendared events of the respective user; (b15) data indicative of current to-do tasks and/or priorities thereof for the respective user; (b16) data indicative of current persons-to-contact tasks of the respective user; (b17) data indicative of currently open or closed availability time slots of the respective user; (b18) data indicative of currently or recently cast votes of the respective user showing engagement with corresponding content; and (b19) data indicative of currently or recently made declarations by the respective user regarding the respective user'"'"'s emotional and/or physiological state; and (c) causing an automated and automatically repeated determining of which, if any, of one or more items of dynamically associable and corresponding content are likely or would likely be of interest or not of interest to the respective users at corresponding times and/or places based on the caused automated and automatically repeated obtaining of the respective situational data and based on the caused automated and automatically repeated using of the one or more of the respective currently active profiles and/or current or recent votes and/or current or recent declarations and/or planning files and/or history files and/or trending files of the respective users; wherein the current or recent situation-indicating data of the respective user is that which was generated within a time period automatically determined in accordance with a currently automatically deemed as active profile of the respective user, the deemed as active profile contributing to a current definition as to what constitutes recentness for a context of the respective user.
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226. A machine-implemented method of dynamically associating with corresponding content, one or more persons for whom the corresponding content is likely to be in the present of interest based on a corresponding one or more of determined current or recent situations and/or identified profiles and/or declarations and/or history files and/or trending files of the associated one or more persons, where said determined current or recent situations and/or identified profiles and/or declarations correspond to information automatically repeatedly obtained from or about the associated persons, the method comprising:
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(a) causing an automated and automatically repeated obtaining by an automated machine system of respective situational data from respective sensors and/or other situation indicators that are operatively proximate to or associated with respective ones of users of the automated machine system, wherein the respective proximate sensors and/or other situation indicators that are operatively proximate to or associated with the respective ones of the users respectively provide for respective ones of the users at least one of; (a1) 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 of a current or recent one or more changes of surrounding, and/or changes of location of the respective user; (a3) 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; (a7) data indicative of a current or recent one or more biomechanical states of, and/or of a current or recent one or more changes of biomechanical state of the respective user; (a8) 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; (a10) 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; (a11) 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; (a12) data providing hints or clues for identifying specific cognition nodes in a cognitions nodes populated space represented by data stored by the machine system relevant to a current or recent state of mind of the respective user; (a13) data indicative of a current or recent involvement of the respective user with corresponding content; (a14) data indicative of a current or recent vote cast implicitly or explicitly by the respective user; and (a15) data indicative of a current or recent declaration made by the respective user; (b) causing an automated and automatically repeated using of one or more of respective currently active profiles and/or current or recent votes and/or current or recent declarations and/or current or recent trending files of the respective users, the currently active profiles being respectively selected subsets of respective plural profiles assigned for each of the respective users, the trending files indicating node touching trends of the respective user within the cognitions nodes populated space, where the used one or more respective currently active profiles and/or current or recent votes and/or current or recent declarations and/or current or recent trending files of the respective users respectively provide at least one of; (b1) data indicative of current or recent demographic attributes of the respective user; (b2) data indicative of current or recent reputation attributes of the respective user; (b3) data indicative of current or recent credential attributes of the respective user, the credential attributes demonstrating credentialed competence relating to one or more of the cognition nodes in the cognitions nodes populated space; (b4) data indicative of current or recent preference attributes and/or dislike attributes of the respective user; (b5) data indicative of current or recent favorites of the respective user or of other users with whom the respective users would prefer to connect, said favorites being general favorites as among at least one of topics, domains, books, movies, URL'"'"'s/web pages, games, TV shows, music, foods, the general favorites being distinguishable from currently focused upon counterparts in that the general favorites need not relate to content currently focused upon by the respective users or said other users; (b6) data indicative of current or recent node touching trends of the respective user, the node touching trends being derived from current or recent touchings by the respective user on cognition nodes within a respective hierarchical tree of cognition nodes or within a respective space populated by the cognition nodes; (b7) data indicative of current or recent keyword histories of the respective user; (b8) data indicative of current or recent URL histories of the respective user; (b10) data indicative of current or recent physical locations-visited histories of the respective user; (b11) data indicative of current or recent virtual forums-visited histories of the respective user; (b13) data indicative of current or recent personal expression attributes of the respective user; (b18) data indicative of currently or recently cast votes of the respective user; and (b19) data indicative of currently or recently made declarations by the respective user regarding the respective user'"'"'s emotional and/or physiological state; and (c) causing an automated and automatically repeated determining of which, if any, of one or more items of dynamically associable and corresponding content are likely in the present to be of interest or not of interest to the respective users based on the caused automated and automatically repeated obtaining of the respective situational data and based on the caused automated and automatically repeated using of the one or more of the respective currently active profiles and/or current or recent votes and/or current or recent declarations and/or history files and/or current or recent trending files of the respective users; wherein occurrences said herein to be recent are those that occur not more than 3 hours before occurrences said herein to be current or occurrences said herein to be recent are those that occur not more than a profile-determined time stretch before occurrences said herein to be current, the profile-determined time stretch being defined by a currently active profile of the respective user. - View Dependent Claims (227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258)
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259. A machine-implemented method of automatically identifying one or more informational resources that respectively are currently likely to be of interest based on a corresponding one or more of determined situations and/or identified profiles and/or votes of respective users, which determined situations and/or identified profiles and/or votes correspond to information automatically repeatedly obtained from or about the respective users, the method comprising:
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(a) causing an automated and automatically repeated obtaining of respective situational data from respective sensors and/or other situation indicators that are operatively proximate to or associated with respective ones of the users of the automated machine system, wherein utilized ones of the respective proximate sensors and/or other situation indicators that are operatively proximate to or associated with the respective ones of the users respectively provide at least one of; (a1) data indicative of a current or recent one or more surroundings of and/or indicative of a current or recent one or more locations of and/or of a current or recent one or more temporal dispositions of, and/or a current or recent one or more changes of surrounding of, and/or current or recent changes of location of the respective user; (a3) 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; (a5) 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 respective user; (a7) 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; (a8) 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; (a9) data indicative of a current or recent one or more physiological states of the respective user; (a10) 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 (a11) 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 and automatically repeated using of one or more of respective and currently active profiles and/or current or recent votes of the respective users, where the used one or more of respective and currently active profiles and/or current or recent votes of the respective users respectively provide at least one of; (b1) data indicative of current or recent demographic attributes of the respective user; (b2) data indicative of current or recent reputation attributes of the respective user; (b3) data indicative of current or recent credential attributes of the respective user; (b4) data indicative of current or recent preference attributes and/or dislike attributes of the respective user; (b13) data indicative of current or recent personal expression attributes of the respective user; and (c) causing an automated and automatically repeated identifying of which, if any, of one or more of informational resources are currently likely be of interest based on the caused automated and automatically repeated obtaining of the respective situational data and based on the caused automated and automatically repeated using of at least one of the one or more of the respective and currently active profiles, where the used one or more of respective and currently active profiles of the respective users includes at least one currently active one of; (c1) a personal emotion expression profile (PEEP) of the respective user; (c2) a personhood defining profile of the respective user; and (c3) a domain specific preferences profile of the respective user; wherein a time duration deemed to be recent rather than current is at least one of; not more than 3 hours before hand; not more than 10 minutes before hand; and a latest time duration determined by a currently active profile of the user as being a recent one.
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260. A machine-implemented method of automatically identifying one or more informational resources that respectively are currently likely to 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 votes and/or declarations and/or planning files and/or history files and/or trending files of the respective users, which determined situations and/or identified profiles and/or votes and/or declarations and/or history files and/or trending files correspond to information automatically repeatedly obtained from or about the respective users, the method comprising:
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(a) causing an automated and automatically repeated obtaining of respective situational data from respective sensors and/or other situation indicators that are operatively proximate to or associated with respective ones of the users of the automated machine system, wherein utilized ones of the respective proximate sensors and/or other situation indicators that are operatively proximate to or associated with the respective ones of the users respectively provide at least one of; (a1) data indicative of a current or recent one or more surroundings of and/or indicative of a current or recent one or more locations of and/or of a current or recent one or more temporal dispositions of and/or one or more availabilities of and/or of a current or recent one or more changes of surrounding of, and/or current or recent changes of location of the respective user; (a2) data indicative of a current or recent mood of or of a current or recent one or more changes of mood of the respective user; (a3) 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; (a4) data indicative of a current or recent one or more machine usage activities of and/or one or more machine usage states of the respective user; (a5) 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; (a7) 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; (a8) 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; (a9) data indicative of a current or recent one or more physiological states of the respective user; (a10) 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 (a11) 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 and automatically repeated using of one or more of respective and currently active profiles and/or current or recent votes and/or current or recent declarations and/or current or recent history files and/or current or recent trending files of the respective users, where the used one or more of respective and currently active profiles and/or current or recent votes and/or current or recent declarations and/or current or recent history files and/or current or recent trending files of the respective users respectively provide at least one of; (b1) data indicative of current or recent demographic attributes of the respective user; (b2) data indicative of current or recent reputation attributes of the respective user; (b3) data indicative of current or recent credential attributes of the respective user; (b4) data indicative of current or recent preference attributes and/or dislike attributes of the respective user; (b5) data indicative of current or recent favorites attributes of the respective user; (b6) data indicative of current or recent topic trends of the respective user; (b7) data indicative of current or recent keyword histories of the respective user; (b8) data indicative of current or recent URL histories of the respective user; (b9) data indicative of current or recent machine usage histories of the respective user; (b10) data indicative of current or recent physical locations-visited histories of the respective user; (b11) data indicative of current or recent virtual forums-visited histories of the respective user; (b12) data indicative of current or recent topics touched-on histories of the respective user; and (b13) data indicative of current or recent personal expression attributes of the respective user; (c) causing an automated and automatically repeated identifying of which, if any, of one or more of informational resources are currently likely be of interest or not of interest to the respective users at corresponding times and/or places based on the caused automated and automatically repeated obtaining of the respective situational data and based on the caused automated and automatically repeated using of at least one of the one or more of the respective and currently active profiles and further based on the caused automated and automatically repeated using of one or more of the current or recent votes and/or current or recent declarations and/or current or recent history files and/or current or recent trending files of the respective users, where the used one or more of respective and currently active profiles of the respective users includes at least one currently active one of; (c1) a personal emotion expression profile (PEEP) of the respective user; (c2) a personhood defining profile of the respective user; and (c3) a domain specific preferences profile of the respective user; wherein a time duration deemed to be recent rather than current is at least one of; not more than 10 minutes before hand; and a latest time duration determined by a currently active profile of the user as being a recent one.
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Specification