Adaptive social computing methods
First Claim
1. An adaptive recommendation method comprising:
- interacting with a content aspect comprising information;
interacting with a computer-implemented structural aspect comprising the content aspect and associated relationships;
contributing behaviors to a usage aspect, the usage aspect comprising captured usage behaviors, wherein the usage behaviors are associated with one or more users corresponding to a plurality of usage behavior categories; and
applying a user tunable adaptive recommendation to navigate the computer-implemented structural aspect, the adaptive recommendation being based, at least in part, on an automatic inference of a preference of a user from a plurality of the captured usage behaviors associated with the one or more users corresponding to a plurality of usage behavior categories.
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Abstract
Methods of applying adaptive social computing systems are disclosed. The social computing systems include capabilities to generate adaptive recommendations and representations of social networks derived, at least in part, from inferences of the preferences and interests of system users based on a plurality of usage behaviors, spanning a plurality of usage behavior categories. The behavioral categories include system navigation behaviors, content referencing behaviors, collaborative behaviors, and the monitoring of physical location and changes in location. 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.
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Citations
38 Claims
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1. An adaptive recommendation method comprising:
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interacting with a content aspect comprising information; interacting with a computer-implemented structural aspect comprising the content aspect and associated relationships; contributing behaviors to a usage aspect, the usage aspect comprising captured usage behaviors, wherein the usage behaviors are associated with one or more users corresponding to a plurality of usage behavior categories; and applying a user tunable adaptive recommendation to navigate the computer-implemented structural aspect, the adaptive recommendation being based, at least in part, on an automatic inference of a preference of a user from a plurality of the captured usage behaviors associated with the one or more users corresponding to a plurality of usage behavior categories. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A mobile adaptive recommendation method comprising:
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contributing behaviors to a computer-implemented usage aspect, the usage aspect comprising captured usage behaviors, wherein the usage behaviors are associated with one or more users; and receiving on a mobile device an automatically generated user tunable adaptive recommendation based, at least in part, on automatically determining the location of a first user of the one or more users and on at least one other usage behavior of the captured usage behaviors associated with the one or more users corresponding to at least one other usage behavior category. - View Dependent Claims (13, 14)
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15. A method comprising:
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operating a content aspect comprising information; operating a computer-implemented structural aspect comprising the content aspect and relationships associated with the content aspect; operating a usage aspect comprising captured usage behaviors, wherein the captured usage behaviors are associated with one or more users and correspond to a plurality of usage behavior categories; and applying a user tunable adaptive recommendation to navigate the computer-implemented structural aspect, wherein the user tunable adaptive recommendation is based, at least in part, on an automatic inference of a preference of the one or more users from a plurality of the captured usage behaviors associated with the one or more users. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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26. A method comprising:
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providing inputs to a computer-implemented usage aspect, wherein the computer-implemented usage aspect comprises captured usage behaviors and the captured usage behaviors are associated with one or more users; and receiving on a mobile device an automatically generated user tunable adaptive recommendation based, at least in part, on automatically determining a location of the one or more users and on at least one of the captured usage behaviors associated with the one or more users, wherein the captured usage behaviors correspond to at least one usage behavior category. - View Dependent Claims (27, 28)
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29. An apparatus, comprising:
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a content aspect comprising information; a structural aspect comprising the content aspect and relationships within the content aspect; a usage aspect comprising captured usage behaviors, wherein the captured usage behaviors are associated with users and correspond to usage behavior categories; and logic circuitry configured to provide user tunable adaptive recommendations for navigating the structural aspect, wherein the user tunable adaptive recommendations are based on inferences of preferences of the users derived from the captured usage behaviors. - View Dependent Claims (30, 31, 32, 33, 34, 35, 36, 37, 38)
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Specification