Adaptive recommendations systems
AssigneeManyWorlds, Inc.
InventorsSteven Dennis Flinn, Naomi Felina Moneypenny
Life of this patent
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Abstract
An adaptive recommendation system and a mobile adaptive recommendation system are disclosed. The adaptive recommendation system and the mobile adaptive recommendation system include algorithms for monitoring user usage behaviors across a plurality of usage behavior categories associated with a computer-based system, and generating recommendations based on inferences on user preferences and interests. Privacy control functions and compensatory functions related to insincere usage behaviors can be applied. Adaptive recommendation delivery can take the form of visual-based or audio-based formats.
Claims20
An adaptive recommendation system, comprising:
- a content aspect comprising information;
- a computer-implemented structural aspect comprising the content aspect and associated relationships;
- a usage aspect, comprising captured usage behaviors, wherein the usage behaviors are associated with one or more users of the system;
- a function to generate a user tunable adaptive recommendation based, at least in part, on a user's navigational context and on an automatic inference of the user's interests from a plurality of usage behaviors associated with the one or more users corresponding to a plurality of usage behavior categories;
- and
- a function to deliver the adaptive recommendation to the user.
A mobile adaptive recommendation system, comprising:
- a content aspect comprising information;
- a computer-implemented structural aspect comprising the content aspect and associated relationships;
- a usage aspect, comprising captured usage behaviors, wherein the usage behaviors are associated with one or more users;
- a function to automatically determine the location of a user based on physical location data generated by a location-aware device;
- a user-controlled recommendation tuning function;
- a function to generate an adaptive recommendation based, at least in part, on the user's recommendation tuning settings and on the automatically determined location of the user and at least one other usage behavior associated with the one or more users corresponding to at least one other usage behavior category;
- and
- a function to deliver the adaptive recommendation to the user.
An article comprising a physical computer-readable medium storing instructions for enabling a processor-based system to:
- access a content aspect comprising information;
- access a structural aspect comprising the content aspect and associated relationships;
- access a usage aspect, comprising captured usage behaviors, wherein the usage behaviors are associated with one or more users;
- generate an user tunable adaptive recommendation based, at least in part, on a user's navigational context and on an automatic inference of the user's interests from a plurality of usage behaviors associated with the one or more users corresponding to a plurality of usage behavior categories;
- and
- deliver the adaptive recommendation to the user.
Dependencies are inferred from the claim text.