System and method of message threading for a multi-format, multi-protocol communication system
First Claim
1. A non-transitory computer readable medium comprising computer executable instructions stored thereon to cause one or more processing units to:
- obtain a first plurality of messages for a first user, wherein the first plurality of messages comprises;
one or more messages in each of a first one or more formats; and
one or more messages sent or received via each of a first one or more protocols; and
create one or more associations between one or more of the first plurality of messages, wherein creating the one or more associations comprises;
performing a predictive semantic analysis on the first plurality of messages, wherein performing the predictive semantic analysis comprises;
generating a predictive tag cloud based on at least one word in a first one of the first plurality of messages, wherein the predictive tag cloud comprises a plurality of words predicted to be related to the at least one word; and
creating one or more clusters of messages from the first plurality of messages, wherein creating the one or more clusters of messages comprises;
associating the first one of the first plurality of messages with at least a second one of the first plurality of messages based, at least in part, on the second one of the first plurality of messages containing at least one word from the generated predictive tag cloud.
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Abstract
This disclosure relates to systems, methods, and computer readable media for performing multi-format, multi-protocol message threading in a way that is most beneficial for the individual user. Users desire a system that will provide for ease of message threading by “stitching” together related communications in a manner that is seamless from the user'"'"'s perspective. Such stitching together of communications across multiple formats and protocols may occur, e.g., by: 1) direct user action in a centralized communications application (e.g., by a user clicking ‘Reply’ on a particular message); 2) using semantic matching (or other search-style message association techniques); 3) element-matching (e.g., matching on subject lines or senders/recipients/similar quoted text, etc.); and 4) “state-matching” (e.g., associating messages if they are specifically tagged as being related to another message, sender, etc. by a third-party service, e.g., a webmail provider or Instant Messaging (IM) service).
145 Citations
25 Claims
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1. A non-transitory computer readable medium comprising computer executable instructions stored thereon to cause one or more processing units to:
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obtain a first plurality of messages for a first user, wherein the first plurality of messages comprises; one or more messages in each of a first one or more formats; and one or more messages sent or received via each of a first one or more protocols; and create one or more associations between one or more of the first plurality of messages, wherein creating the one or more associations comprises; performing a predictive semantic analysis on the first plurality of messages, wherein performing the predictive semantic analysis comprises; generating a predictive tag cloud based on at least one word in a first one of the first plurality of messages, wherein the predictive tag cloud comprises a plurality of words predicted to be related to the at least one word; and creating one or more clusters of messages from the first plurality of messages, wherein creating the one or more clusters of messages comprises; associating the first one of the first plurality of messages with at least a second one of the first plurality of messages based, at least in part, on the second one of the first plurality of messages containing at least one word from the generated predictive tag cloud. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system, comprising:
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a memory; and one or more processing units, communicatively coupled to the memory, wherein the memory stores instructions to configure the one or more processing units to; obtain a first plurality of messages for a first user, wherein the first plurality of messages comprises; one or more messages in each of a first one or more formats; and one or more messages sent or received via each of a first one or more protocols; and create one or more associations between one or more of the first plurality of messages, wherein creating the one or more associations comprises; performing a predictive semantic analysis on the first plurality of messages, wherein performing the predictive semantic analysis comprises; generating a predictive tag cloud based on at least one word in a first one of the first plurality of messages, wherein the predictive tag cloud comprises a plurality of words predicted to be related to the at least one word; and creating one or more clusters of messages from the first plurality of messages, wherein creating the one or more clusters of messages comprises; associating the first one of the first plurality of messages with at least a second one of the first plurality of messages based, at least in part, on the second one of the first plurality of messages containing at least one word from the generated predictive tag cloud. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A computer-implemented method, comprising:
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obtaining a first plurality of messages for a first user, wherein the first plurality of messages comprises; one or more messages in each of a first one or more formats; and one or more messages sent or received via each of a first one or more protocols; and creating one or more associations between one or more of the first plurality of messages, wherein creating the one or more associations comprises; performing a predictive semantic analysis on the first plurality of messages, wherein performing the predictive semantic analysis comprises; generating a predictive tag cloud based on at least one word in a first one of the first plurality of messages, wherein the predictive tag cloud comprises a plurality of words predicted to be related to the at least one word; and creating one or more clusters of messages from the first plurality of messages, wherein creating the one or more clusters of messages comprises; associating the first one of the first plurality of messages with at least a second one of the first plurality of messages based, at least in part, on the second one of the first plurality of messages containing at least one word from the generated predictive tag cloud. - View Dependent Claims (22, 23, 24, 25)
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Specification