Systems and Methods for Determining Recommended Aspects of Future Content, Actions, or Behavior
First Claim
1. A system comprising:
- a memory; and
a processor coupled to the memory, wherein the processor is configured to;
provide potential requests, wherein each of the potential requests comprise an indication of at least one recommended aspect type for a future content, action, or behavior;
receive a selection of at least one of the potential requests for the at least one recommended aspect type for the future content, action, or behavior, wherein the selection is associated with a unique author in at least one social network, website, application software, or mobile application software (app); and
automatically determine, in response to the selection, the recommended aspect for the future content, action, or behavior, wherein;
the recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors in the at least one social network, website, application software, or mobile application software (app) prior to receipt of the selection.
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Accused Products
Abstract
A method includes providing, by a processor of a computing device, potential requests. Each of the potential requests include an indication of at least one recommended aspect type for a future content. The method further includes receiving a selection of at least one of the potential requests for the at least one recommended aspect type for the future content. The selection is associated with a unique author in at least one social network, website, application software, or mobile application software (app). The method further includes automatically determining, in response to the selection, the recommended aspect for the future content. The recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors in the at least one social network, website, application software, or mobile application software (app) prior to receipt of the selection.
125 Citations
23 Claims
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1. A system comprising:
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a memory; and a processor coupled to the memory, wherein the processor is configured to; provide potential requests, wherein each of the potential requests comprise an indication of at least one recommended aspect type for a future content, action, or behavior; receive a selection of at least one of the potential requests for the at least one recommended aspect type for the future content, action, or behavior, wherein the selection is associated with a unique author in at least one social network, website, application software, or mobile application software (app); and automatically determine, in response to the selection, the recommended aspect for the future content, action, or behavior, wherein; the recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors in the at least one social network, website, application software, or mobile application software (app) prior to receipt of the selection. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method comprising:
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providing, by a processor of a computing device, potential requests, wherein each of the potential requests comprise an indication of at least one recommended aspect type for a future content, action, or behavior; receiving, by the processor, a selection of at least one of the potential requests for the at least one recommended aspect type for the future content, action, or behavior, wherein the selection is associated with a unique author in at least one social network, website, application software, or mobile application software (app); and automatically determining, by the processor, in response to the selection, the recommended aspect for the future content, action, or behavior, wherein; the recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors in the at least one social network, website, application software, or mobile application software (app) prior to receipt of the selection. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A non-transitory computer readable medium having instructions stored thereon that, upon execution by a computing device, cause the computing device to perform operations comprising:
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providing potential requests, wherein each of the potential requests comprise an indication of at least one recommended aspect type for a future content, action, or behavior; receiving a selection of at least one of the potential requests for the at least one recommended aspect type for the future content, action, or behavior, wherein the selection is associated with a unique author in at least one social network, website, application software, or mobile application software (app); and automatically determining, in response to the selection, the recommended aspect for the future content, action, or behavior, wherein; the recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors in the at least one social network, website, application software, or mobile application software (app) prior to receipt of the selection. - View Dependent Claims (22, 23)
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Specification