Multi-social network discovery system and method

A computer-implemented system comprising one or more processor-based devices configured to execute:

• an originating system selection function, wherein the originating system selection function selects a first computer-implemented social network from a plurality of computer-implemented social networks, wherein the first computer-implemented social network comprises computer-implemented representations of a first plurality of users, computer-implemented relationships among the first plurality of users, and a first activity stream associated with one of the first plurality of users, wherein the first activity stream comprises a first plurality of temporally sequenced computer-implemented objects;
• the originating system selection function, wherein the originating system selection function selects a second computer-implemented social network from the plurality of computer-implemented social networks, wherein the second computer-implemented social network comprises computer-implemented representations of a second plurality of users, computer-implemented relationships among the second plurality of users, and a second activity stream associated with one of the second plurality of users, wherein the second activity stream comprises a second plurality of temporally sequenced computer-implemented objects;
• a transformation function, wherein the transformation function generates a first plurality of affinity values, wherein each of the first plurality of affinity values represents a level of inferred affinity between each of a first plurality of topics and each of the first plurality of temporally sequenced computer-implemented objects;
• the transformation function, wherein the transformation function generates a second plurality of affinity values, wherein each of the second plurality of affinity values represents a level of inferred affinity between each of a second plurality of topics and each of the second plurality of temporally sequenced computer-implemented objects;
• a recommendation generation function that selects a first recommended object from the first plurality of temporally sequenced computer-implemented objects and a second recommended object from the second plurality of temporally sequenced computer-implemented objects, wherein the selection of the first recommended object and the second recommended object is based, at least in part, on the first plurality of affinity values and the second plurality of affinity values;
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• a recommendation delivery function that delivers the first recommended object and the second recommended object to a user of a computer-implemented system.

A computer-implemented system, comprising one or more processor-based devices configured to execute:

• an originating system selection function, wherein the originating system selection function selects a first computer-implemented social network from a plurality of computer-implemented social networks, wherein the first computer-implemented social network comprises computer-implemented representations of a first plurality of users, computer-implemented relationships among the first plurality of users, and a first activity stream associated with one of the first plurality of users, wherein the first activity stream comprises a first plurality of temporally sequenced computer-implemented objects;
• the originating system selection function, wherein the originating system selection function selects a second computer-implemented social network from the plurality of computer-implemented social networks, wherein the second computer-implemented social network comprises computer-implemented representations of a second plurality of users, computer-implemented relationships among the second plurality of users, and a second activity stream associated with one of the second plurality of users, wherein the second activity stream comprises a second plurality of temporally sequenced computer-implemented objects;
• a transformation function, wherein the transformation function generates a first plurality of affinity values, wherein each of the first plurality of affinity values represents a level of inferred affinity between each of a first plurality of topics and each of the first plurality of temporally sequenced computer-implemented objects;
• the transformation function, wherein the transformation function generates a second plurality of affinity values, wherein each of the second plurality of affinity values represents a level of inferred affinity between each of a second plurality of topics and each of the second plurality of temporally sequenced computer-implemented objects;
• a recommendation tuning control setting function that enables a user to set a recommendation tuning control setting that influences a selection of objects that are to be recommended to the user;
• a recommendation generation function that selects a first recommended object from the first plurality of temporally sequenced computer-implemented objects and a second recommended object from the second plurality of temporally sequenced computer-implemented objects, wherein the selection of the first recommended object and the second recommended object is based, at least in part, on the first plurality of affinity values, the second plurality of affinity values, and the recommendation tuning control setting;
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• a recommendation delivery function that delivers the first recommended object and the second recommended object to the user.