Adaptive Method to Automatically Classify Emails Based on Bio-Signature Association
First Claim
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1. A method of managing emails to remove inbox cluttering. This Bio-Signature Association method is totally self-deterministic so the users do not have to explicitly define rules.a. The method of claim 1, wherein the condition of removal must be that the current user environment, inbox arrangement, user work habits and data content must not be altered in any shape or form.b. The method of claim 1, wherein the actual analysis and process is fully automatic.There is no need for the user to cognitively aware of how the method can create such grouping.c. The method of claim 1, wherein the process can be altered or adjusted by the user if so desired.d. The method of claim 1, further comprising:
- a database configured to store sender'"'"'s attributes, tallies bio-signature related parameters, and computer program execution environment. This database can be rebuilt or removed from the current user environment without affecting the original user system.
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Abstract
The Bio-Signature Association approach disclosed herein addresses the above stated needs by providing a method and computer software component for automatically and intelligently managing the inbox based on the ever-changing behavior of the user. Theoretically, Emails should be treated as an event where an action may be taken or initiation of an action.
When the user casually acts upon an inbox or an individual email, there is unique pattern associated with such operations. For example, one might view emails from families first followed by colleagues or so-call “internal” fellow workers. Naturally, pushed advertisements such as special interest groups and vendors may be towards the end. These viewing habits and patterns are considered as unique “signature” for each user in this invention.
16 Citations
5 Claims
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1. A method of managing emails to remove inbox cluttering. This Bio-Signature Association method is totally self-deterministic so the users do not have to explicitly define rules.
a. The method of claim 1, wherein the condition of removal must be that the current user environment, inbox arrangement, user work habits and data content must not be altered in any shape or form. b. The method of claim 1, wherein the actual analysis and process is fully automatic. There is no need for the user to cognitively aware of how the method can create such grouping. c. The method of claim 1, wherein the process can be altered or adjusted by the user if so desired. d. The method of claim 1, further comprising: - a database configured to store sender'"'"'s attributes, tallies bio-signature related parameters, and computer program execution environment. This database can be rebuilt or removed from the current user environment without affecting the original user system.
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2. A method to automatically and dynamically evaluate importance of emails in the inbox.
a. The method of claim 2, wherein the Bio-Signature Groups are identified as “ - Routing Information”
, “
Identifications”
, “
Access Behavior” and
“
Temporal”
.b. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is whether a “
delete”
operation has been performed.c. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is whether a “
read”
operation has been performed.d. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is when a “
read”
operation has been performed. In this context, “
when”
is calculated from the time when the email client is started or the time-of-day.e. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is whether a “
reply”
operation has been performed.f. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is when a “
reply”
operation has been performed. In this context, “
when”
is calculated from the time when the email client is started or the time-of-day.g. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is whether a “
forward”
operation has been performed.h. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is when a “
forward”
operation has been performed. In this context, “
when”
is calculated from the time when the email client is started or the time-of-day.i. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is whether a “
SUBSCRIBE/UNSUBSCRIBE”
word is found in the email content.j. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is when an operation has been performed in the time of day. For example, the emails that are being “
read”
immediately after opening the email client will be ranked more important.k. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is the frequency of an email being “
read”
.l. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is the % of emails being replied from the sender organization. m. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is whether an email sender creates emails that are cyclical. For example, a promotion or an organization may send newsletter to their members periodically at a fixed interval. n. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is whether the attachments have been read. o. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is whether the sender belongs to a group of highly ranked email organization. p. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is whether the sender belongs to the Social Network (range of influence) of the recipient. q. The method of claim 2 wherein an attribute for determining Bio-Signature Groups is whether the sender'"'"'s emails arrival has a constant interval. - View Dependent Claims (3, 4)
- Routing Information”
-
5. An algorithm to employ the unequivocal relationship between “
- Bio-Signature” and
the level of importance of an email from the viewpoint of the user.a. The algorithmic component of claim 5, wherein the algorithm is specifying the attributes identified ad hoc or based on presumptuous derivation of an observation to assign weights and the resulting accumulative score of each “
sender”
of interest.b. The algorithmic component of claim 5, wherein the algorithm specified is dynamically adjusted based on real-time events that triggered by two event types;
incoming emails and the user interactions.c. The algorithmic component of claim 5, wherein the attributes and scoring weights are determined by the user if so preferred. The aggregate of the attributes weights determines the scores of a sender'"'"'s profile priority. d. The algorithmic component of claim 5, wherein there are “
OR” and
“
AND”
relationships between attributes. For example, if a sender is in the participant network in which one or more of participants in such network is in a high level of importance setting, then emails from this sender is automatically assigned a higher level of importance in the scoring scheme.e. The algorithmic component of claim 5, wherein there are attributes which do not have causal relationship to another attribute. For example, the timestamp the email is received and when it is read is a totally independent scoring attribute. However, it may be modified by assessing the start time of the Email Client in which the viewing is performed.
- Bio-Signature” and
Specification
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- Resources
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Current AssigneeEdward T. Tse
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Original AssigneeEdward T. Tse
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InventorsTse, Edward T.
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Application NumberUS12/830,316Publication NumberTime in Patent OfficeDaysField of SearchUS Class Current709/206CPC Class CodesG06Q 10/10 Office automation; Time man...
