Temporally Sequenced Adaptive Recommendations of Activities
A system and method for temporally sequenced recommendations of activities delivers to users temporally sequenced objects comprising user activities, wherein the delivered objects are selected based, at least in part, on inferences of preferences from usage behaviors. The delivered objects may include activities associated with processor-based devices in addition to human activities. Variations of the system and method include delivering the temporally sequenced objects in accordance with the contents of the objects and user feedback with regard to the objects. Information as to why objects were delivered to users may be provided to the users.
1 . A computer-implemented method, comprising:
contributing a plurality of usage behaviors to a computer-implemented usage function through use of a portable processor-based device; and
interacting with a plurality of temporally sequenced objects through use of the portable processor-based device, wherein at least two of the plurality of temporally sequenced objects comprise user activities, and wherein the plurality of temporally sequenced objects are selected for delivery in accordance with an inference of a preference based, at least in part, on a plurality of usage behaviors.
2 . The method of claim 1 , further comprising:
contributing the plurality of usage behaviors, wherein one behavior of the plurality of behaviors is a subscription.
3 . The method of claim 1 , further comprising:
interacting with the plurality of temporally sequenced objects, wherein the plurality of temporally sequenced objects are selected for delivery in accordance with at least one direct feedback behavior that is associated with at least one object of the plurality of temporally sequenced objects.
4 . The method of claim 3 , further comprising:
interacting with the plurality of temporally sequenced objects, wherein the plurality of temporally sequenced objects are selected for delivery in accordance with at least one direct feedback behavior that is associated with at least one object of the plurality of temporally sequenced objects, wherein the direct feedback behavior is a user comment.
5 . The method of claim 1 , further comprising:
interacting with the plurality of temporally sequenced objects, wherein the plurality of temporally sequenced objects are selected for delivery in accordance with the inference of the preference, wherein the inference of the preference is based, at least in part, on usage behaviors associated with a plurality of users.
6 . The method of claim 1 , further comprising:
interacting with the plurality of temporally sequenced objects, wherein the plurality of temporally sequenced objects are selected for delivery in accordance with the inference of the preference, wherein the inference of the preference is based, at least in part, on the contents of at least one object of the plurality of temporally sequenced objects.
7 . The method of claim 1 , further comprising:
interacting with the plurality of temporally sequenced objects, wherein at least one object of the plurality of temporally sequenced objects comprises an activity performed by of a processor-based device.
8 . The method of claim 1 , further comprising:
receiving an explanation as to why at least one object of the plurality of temporally sequenced objects was selected for delivery.
9 . A computer-implemented system, comprising:
a computer-implemented usage function that accesses a plurality of usage behaviors associated with a first user interacting with a first plurality of temporally sequenced objects; and
a recommendation-generating function executed on a processor-based device that generates a second plurality of temporally sequenced objects, wherein at least two of the second plurality of temporally sequenced objects comprise activities of one or more other users, and wherein the generation of the second plurality of temporally sequenced objects is in accordance with an inference of a preference that is based, at least in part, on a plurality of usage behaviors.
10 . The system of claim 9 , further comprising:
the recommendation-generating function that generates the second plurality of temporally sequenced objects, wherein the selection is in accordance with a tag.
11 . The system of claim 9 , further comprising:
the recommendation-generating function that generates the second plurality of temporally sequenced objects, wherein the selection is in accordance with a subscription.
12 . The system of claim 9 , further comprising:
the recommendation-generating function that generates the second plurality of temporally sequenced objects, wherein the selection is in accordance with at least one direct feedback behavior associated with at least one object of the plurality of objects.
13 . The system of claim 12 , further comprising:
the recommendation-generating function that generates the second plurality of temporally sequenced objects in accordance with the at least one direct feedback behavior associated with the at least one object of the plurality of objects, wherein the direct feedback behavior is a user comment.
14 . The system of claim 9 , further comprising:
the recommendation-generating function that generates the second plurality of temporally sequenced objects in accordance with the inference of the preference, wherein the inference of the preference is based, at least in part, on a plurality of usage behaviors associated with a plurality of users.
15 . The system of claim 9 , further comprising:
the recommendation-generating function that generates the second plurality of temporally sequenced objects, wherein the selection is in accordance with the contents of at least one object of the second plurality of temporally sequenced objects.
16 . The system of claim 9 , further comprising:
a recommendation-generating function that generates the second plurality of temporally sequenced objects, wherein at least one object of the second plurality of temporally sequenced objects comprises an activity performed by a processor-based device.
17 . The system of claim 9 , further comprising:
an explanatory function that delivers information to a user as to why at least one object of the second plurality of temporally sequenced objects was delivered to the user.
18 . A computer-implemented system, comprising:
a recommendation-generating function executed on a processor-based device that generates a plurality of temporally sequenced objects for delivery to a user, wherein at least two of the plurality of temporally sequenced objects comprise the activities one or more other users, and wherein the plurality of temporally sequenced objects are generated in accordance with an inference of a preference that is based, at least in part, on a plurality of usage behaviors; and
a computer-implemented explanatory function that provides a reason to the user for the delivery of at least one object of the plurality of temporally sequenced objects.
19 . The device of claim 18 , further comprising
the recommendation-generating function, wherein the recommendation-generating function generates the plurality of temporally sequenced objects in accordance with a subscription.
20 . The device of claim 18 , further comprising
an explanatory function that provides additional explanatory information upon request by the user.