PREDICTIVE PRE-CACHING OF CONTENT

• US 20140379835A1
• Filed: 06/21/2013
• Published: 12/25/2014
• Est. Priority Date: 06/21/2013
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Daniel J. Dahle, Jeffrey R. Foerster, ZHAO, MEIYUAN
• Inventors: FOERSTER, JEFFREY R., DAHLE, DANIEL J., ZHAO, MEIYUAN
• Application Number:
  US13/923,870
• Publication Number:
  US 20140379835A1
• Time in Patent Office: Days
• US Class Current: 709/213
• CPC Class Codes: H04L 67/5681 Pre-fetching or pre-delivering data based on network characteristics
• CPC Class Codes: H04L 67/62 Establishing a time schedule for servicing the requests

Abstract

Certain embodiments herein are directed to predictive pre-caching of content for user devices. A service provider system may receive predictive pre-cache information associated with a user from a user device. The service provider system may obtain content based at least in part on the predictive pre-cache information associated with the user. The service provider system may determine a non-congested time to transmit the obtained content. The service provider system may transmit the content to the user device at the non-congested time.

Claims

1. A method, comprising:

receiving, by a service provider system comprising one or more computers, from a user device, predictive pre-cache information associated with a user;

obtaining, by the service provider system, content based at least in part on the predictive pre-cache information associated with the user;

determining, by the service provider system, a time to transmit the obtained content based at least in part on network congestion information; and

transmitting, by the service provider system, the obtained content to the user device at the determined time.

2. The method of claim 1, wherein the predictive pre-cache information comprises at least one of a user activity log, one or more location information patterns associated with the user, or one or more data usage patterns associated with the user.

3. The method of claim 1, wherein obtaining the content further comprises obtaining, by the service provider system, the content from a content server.

4. The method of claim 3, further comprising:

receiving, by the service provider system from the content server, a plurality of advertisements identified by the content server based at least in part on one or more user preferences; and

transmitting, by the service provider system, the plurality of advertisements for presentation to the user in association with the obtained content.

5. The method of claim 4, wherein the plurality of advertisements are transmitted to the user device for storage for presentation to the user in association with the obtained content prior to transmitting the obtained content.

6. The method of claim 5, further comprising:

identifying, by the service provider system, a credit to apply to a user account associated with the user device based at least in part on the presentation of the plurality of the advertisements to the user.

7. The method of claim 1, wherein determining the time to transmit the obtained content based at least in part on network congestion information further comprises:

receiving, by the service provider system, data from a plurality of user devices;

anonymizing, by the service provider system, the data received from the plurality of user devices; and

analyzing, by the service provider system, the anonymized data to identify the time associated with peak and non-peak traffic associated with the network to predict the time the network is not congested.

8. The method of claim 1, further comprising:

receiving, by the service provider system from a content server, suggested content based at least in part on one or more user preferences or a user profile shared by the user device with the content server;

storing, by the service provider system, the suggested content on an aggregation server;

retrieving, by the service provider system, the suggested content from the aggregation server responsive to receiving the predictive pre-cache data from the user device; and

transmitting, by the service provider system, the suggested content to the user device.

9. A method, comprising:

receiving, by a user device comprising one or more processors, data from one or more modules executing on the user device;

determining, by the user device, predictive pre-cache information associated with a user based at least in part on the data;

transmitting, by the user device, the predictive pre-cache data;

receiving, by the user device, content at a time based at least in part on network congestion information and prior to the user device receiving a request for the content; and

presenting, by the user device, the content to a user response to a request for content.

10. The method of claim 9, wherein the predictive pre-cache data comprises at least one of location information patterns associated with the user device or data usage patterns associated with the user device.

11. The method of claim 9, further comprising:

generating, by the user device, an activity log based at least in part on interactions of a user with the user device; and

transmitting, by the user device, the activity log to at least one of a service provider server or a content server.

12. The method of claim 9, wherein transmitting the predictive pre-cache information further comprises transmitting, by the user device, the predictive pre-cache information to at least one of a content server or a service provider server.

13. A system, comprising:

at least one memory that stores computer-executable instructions; and

at least one processor configured to access the at least one memory, wherein the at least one processor is configured to execute the computer-executable instructions to;

receive from a user device, predictive pre-cache information associated with a user;

obtain content based at least in part on the predictive pre-cache information associated with the user;

determine a time a network is not congested to transmit the obtained content; and

transmit the obtained content to the user device at the determined times.

14. The system of claim 13, wherein the predictive pre-cache information comprises at least one of a user activity log, one or more location information patterns associated with the user, or one or more data usage patterns associated with the user.

15. The system of claim 13, wherein the at least one processor configured to obtain the content is further configured to execute the computer-executable instructions to:

obtain the content from a content server.

16. The system of claim 15, wherein the at least one processor is further configured to execute the computer-executable instructions to:

receive, from the content server, a plurality of advertisements identified by the content server based at least in part on one or more user preferences; and

transmit the plurality of advertisements for presentation to the user in association with the obtained content.

17. The system of claim 16, wherein the plurality of advertisements are transmitted to the user device for storage for presentation to the user in association with the obtained content prior to transmitting the obtained content.

18. The system of claim 17, wherein the at least one processor is further configured to execute the computer-executable instructions to:

identify a credit to apply to a user account associated with the user device based at least in part on the presentation of the plurality of the advertisements to the user.

19. The system of claim 13, wherein the at least one processor configured to determine the time the network is not congested is further configured to execute the computer-executable instructions to:

receive data from a plurality of user devices;

anonymize the data received from the plurality of user devices; and

analyze the anonymized data to identify the time associated with peak and non-peak traffic associated with the network to predict the time the network is not congested.

20. The system of claim 13, wherein the at least one processor is further configured to execute the computer-executable instructions to:

receive, from a content server, suggested content based at least in part on one or more user preferences or a user profile shared by the user device with the content server;

store the suggested content on an aggregation server;

retrieve the suggested content from the aggregation server responsive to receiving the predictive pre-cache data from the user device; and

transmit the suggested content to the user device.

21. A system, comprising:

at least one memory that stores computer-executable instructions; and

at least one processor configured to access the at least one memory, wherein the at least one processor is configured to execute the computer-executable instructions to;

receive data from one or more modules executing on a user device;

determine predictive pre-cache information associated with a user based at least in part on the data;

receive network congestion information;

determine a time to obtain content based at least in part on the network congestion information;

receive the content at the determined time; and

present the content to a user response to a request for content.

22. The system of claim 21, wherein the predictive pre-cache data comprises at least one of location information patterns associated with the user device or data usage patterns associated with the user device.

23. The system of claim 21, wherein the at least one processor is further configured to execute the computer-executable instructions to:

generate an activity log based at least in part on interactions of a user with the user device.

24. The system of claim 21, wherein the at least one processor configured to receive network congestion information is further configured to execute the computer-executable instructions to:

receive network congestion information from a service provider server.

25. The system of claim 21, wherein the at least one processor is further configured to execute the computer-executable instructions to:

identify a credit to a user account associated with the user device based at least in part on the predictive pre-cache information associated with the user.