METHOD AND APPARATUS THAT COLLECT AND UPLOADS IMPLICIT ANALYTIC DATA

• US 20130151486A1
• Filed: 12/08/2011
• Published: 06/13/2013
• Est. Priority Date: 12/08/2011
• Status: Active Grant

• Current Assignee: Google Technology Holdings LLC (Alphabet Inc.)
• Original Assignee: General Instrument Corporation (CommScope Holding Company, Inc.)
• Inventors: Narasimhan, Nitya, Liu, Yan, Singer, Gregory L.
• Granted Patent: US 9,679,061 B2
• Time in Patent Office: Days
• US Class Current: 707/694
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A method (300) and apparatus (110, 150) collect and upload implicit analytic data. The method can include storing (320) dependency rules corresponding explicit events to implicit events. The method can include collecting (330) and storing (340) implicit event data corresponding to implicit events. The method can include receiving (350) an explicit event at the device. The method can include evaluating (360) dependency rules corresponding to the explicit event. The method can include identifying (370) a relevant subset of implicit event data corresponding to the explicit event based on evaluating the dependency rules. The method can include uploading (390) the relevant subset of the implicit event data and explicit event data corresponding to the explicit event.

Claims

1. A method of collecting and uploading implicit analytic data, the method comprising the steps of:

storing dependency rules corresponding explicit events to implicit events;

collecting, at a communication device, implicit event data corresponding to implicit events;

receiving an explicit event at the communication device;

evaluating dependency rules corresponding to the explicit event;

identifying a relevant subset of implicit event data corresponding to the explicit event based on evaluating the dependency rules; and

uploading, from the communication device, the relevant subset of the implicit event data and explicit event data corresponding to the explicit event.

2. The method according to claim 1, wherein the dependency rules are determined from historical usage of the communication device.

3. The method according to claim 2, further comprising:

determining a high probability of a select subset of implicit event data that corresponds to the explicit event based on the historical usage of the communication device; and

deferring uploading the select subset of the implicit event data in response to determining a high probability of a select subset of implicit event data corresponding to the explicit event.

4. The method according to claim 1, wherein the dependency rules are specified by a service provider other than a user of the communication device.

5. The method according to claim 1, wherein the dependency rules are determined over a plurality of communication devices associated with a user of the communication device.

6. The method according to claim 1, wherein the relevant subset of the implicit event data is a unique subset of a desired subset of implicit events that are actually available for upload.

7. The method according to claim 1, wherein the step of uploading comprises concurrently uploading the relevant subset of the implicit event data along with the explicit event data.

8. The method according to claim 1, wherein the step of collecting comprises collecting, at the communication device, implicit event data corresponding to implicit events in response to receiving the explicit event at the communication device.

9. The method according to claim 1, further comprising the step of personalizing the dependency rules based on implicit event data collected at the communication device.

10. The method according to claim 1, further comprising storing the implicit event data after collecting the implicit event data at the communication device.

11. The method according to claim 1, wherein the explicit event comprises a user-generated input event.

12. The method according to claim 1, wherein the dependency rules are based on historical behavior of the user of the communication device.

13. The method according to claim 1, further comprising the step of personalizing the dependency rules based on historical user behavior of the communication device.

14. An apparatus that collects and uploads implicit analytic data, the apparatus comprising:

a controller configured to control operations of the apparatus and configured to collect implicit event data corresponding to implicit events;

a memory coupled to the controller, the memory configured to store dependency rules that correspond explicit events to implicit event data;

a user interface configured to receive an explicit event;

a device activity manager coupled to the controller, the device activity manager configured to evaluate dependency rules corresponding to the explicit event, and configured to identify a relevant subset of implicit event data corresponding to the explicit event based on evaluating the dependency rules; and

a transceiver configured to upload, from the apparatus, the relevant subset of the implicit event data and upload explicit event data corresponding to the explicit event.

15. The apparatus according to claim 14, wherein at least some of the stored implicit event data is collected in response to the explicit event.

16. The apparatus according to claim 14, wherein the dependency rules are determined from historical usage of the apparatus.

17. The apparatus according to claim 16, further comprising the configuration of the device activity manager to determine a high probability that a select subset of implicit event data corresponds to the explicit event based on the historical usage of the apparatus and also configured to defer uploading the select subset of the implicit event data in response to determining a high probability of a select subset of implicit event data corresponding to the explicit event.

18. The apparatus according to claim 14, wherein the dependency rules are specified by a service provider other than a user of the apparatus.

19. The apparatus according to claim 14, wherein the dependency rules are determined over a plurality of devices associated with a user of the apparatus.

20. The apparatus according to claim 14, wherein the transceiver is configured to concurrently upload the relevant subset of the implicit event data along with the explicit event data.

21. The apparatus according to claim 14, wherein the controller is configured to collect implicit event data corresponding to implicit events in response to receiving the explicit event.

22. The apparatus according to claim 14,

further comprising an implicit event sensor configured to receive an implicit event and configured to generate implicit event data corresponding to the implicit event;

wherein an event comprises an observable change in a device related state.

23. The apparatus according to claim 22, wherein the implicit event sensor comprises one of a device location sensor, a motion sensor, a touch sensor, a proximity sensor, a network interface activity sensor, a battery level sensor, a signal strength sensor, a cellular identifier sensor, a processor load sensor, a memory usage sensor, a running application sensor, and an application-specific state sensor.

24. The apparatus according to claim 14, wherein the user interface comprises one of a user gesture interface, a user speech interface, and a user touch interface.

25. The apparatus according to claim 14, wherein the memory is configured to store the implicit event data.

26. A method of collecting and uploading implicit analytic data, the method comprising the steps of:

storing dependency rules at a device activity management server, where the dependency rules identify a relevant subset of implicit event data corresponding to an explicit event at a user device;

receiving, at the device activity management server, implicit event data corresponding to implicit events, where the implicit event data is collected at at least one user device;

personalizing the dependency rules based on implicit event data collected at the least one user device; and

sending the dependency rules to the user device.

27. The method according to claim 26, further comprising the steps of:

receiving information regarding an explicit event at the device;

evaluating the dependency rules corresponding to the explicit event; and

informing the user device of relevant implicit events based on evaluating the dependency rules corresponding to the explicit event.