Providing Digital Content Based On Expected User Behavior

• US 20100131443A1
• Filed: 11/25/2008
• Published: 05/27/2010
• Est. Priority Date: 11/25/2008
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Nishar, Dipchand, Rubin, Andrew E., Agarwal, Sumit
• Granted Patent: US 8,271,413 B2
• Time in Patent Office: Days
• US Class Current: 706/46
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: H04L 67/60 Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources admission control or resource allocation H04L47/70

Abstract

In a computing system, information regarding a plurality of events that use a computing device is obtained, and a time-dependant increase in activity for each of at least some of the events is identified. An observed interest by a user in an event is correlated with an identified increase in activity for the event. Information about the activity at a time related to the event is provided for review by the user.

Claims

1. A computer-implemented method, comprising:

obtaining information regarding a plurality of events that use a computing device;

identifying a time-dependant increase in activity for each of at least some of the events;

correlating an observed interest by a user in an event with an identified increase in activity for the event; and

providing, for review by the user, information about the activity at a time related to the event.

2. The computer-implemented method of claim 1, wherein the events are selected from a group consisting of a television program, a movie, a shopping transaction, and a musical song.

3. The computer-implemented method of claim 1, wherein identifying the time-dependant increase in activity for each of the events comprises analyzing search requests related to the event.

4. The computer-implemented method of claim 1, wherein identifying the one or more time-dependant increases in activity for each of the events comprises identifying a location.

5. The computer-implemented method of claim 1, wherein identifying the one or more time-dependant increases in activity for each of the events comprises identifying a sales transaction.

6. The computer-implemented method of claim 1, wherein the observed interest by the user comprises a received user profile.

7. The computer-implemented method of claim 1, wherein the observed interest by the user is an inferred user profile.

8. The computer-implemented method of claim 1, wherein the one or more time-dependant increases in activity for the event relates to timing of a transaction.

9. The computer-implemented method of claim 1, wherein correlating an observed user interest comprises supplementing information about the time-dependent increase in activity with data from an user identifying an explicit user preference for information about the activity.

10. The computer-implemented method of claim 1, further comprising correlating the observed interest by the user in the event with information reflecting occurrences of first non-user-specific events having an event type, and providing the information about the activity upon the occurrence of a non-user-specific event having the event type.

11. The computer-implemented method of claim 10, further comprising identifying a lack of correlation between the observed interest of the user and second non-user-specific events, and identifying the information based on a combination of the correlation and the lack of correlation.

12. A recordable media having recorded and stored thereon instructions, that when executed on a computing device, perform actions comprising:

obtaining information regarding a plurality of events that use a computing device;

identifying a time-dependant increase in activity for each of at least some of the events;

correlating an observed interest by a user in an event with an identified increase in activity for the event; and

providing, for review by the user, information about the activity at a time related to the event.

13. The recordable media of claim 12, wherein the events are selected from a group consisting of a television program, a movie, a shopping transaction, and a musical song.

14. The recordable media of claim 12, wherein identifying the time-dependant increase in activity for each of the events comprises analyzing search requests related to the event.

15. The recordable media of claim 12, wherein identifying the one or more time-dependant increases in activity for each of the events comprises identifying a location associated with each of the events.

16. A computer-implemented method, comprising:

obtaining information regarding a plurality of user-specific events corresponding to a computing device;

correlating the user-specific events with one or more non-user-specific events;

identifying an interest by a user of the device with one or more of the non-user-specific events using the information regarding the plurality of user-specific events; and

providing, for review by the user, information about a future non-user-specific activity using the identified interest.

17. The method of claim 16, wherein the information comprises promotional information for the non-user-specific activity.

18. The method of claim 16, wherein the information comprises promotional information for an entity in a geographic vicinity of the non-user-specific activity.

19. A computer-implemented system, comprising:

a first interface arranged to gather information regarding a plurality of events corresponding to a mobile computing device;

an observation module to identify a time-dependant increase in activity for each of at least some of the events; and

a prediction module to correlate an observed interest by a user in an event with an identified increase in activity for the event;

a second interface arranged to provide, for review by the user, information about the activity at a time related to the event.

20. The system of claim 19, wherein the events are selected from a group consisting of a television program, a movie, a shopping transaction, and a musical song.

21. The system of claim 19, wherein identifying the time-dependant increase in activity for each of the events comprises analyzing search requests related to the event.

22. The system of claim 19, wherein identifying the one or more time-dependant increases in activity for each of the events comprises identifying a location associated with each of the events.