Predictive Content Delivery

• US 20100174735A1
• Filed: 01/02/2009
• Published: 07/08/2010
• Est. Priority Date: 12/13/2007
• Status: Active Grant

• Current Assignee: Seven Networks LLC (SoftBank Group Corp.)
• Original Assignee: Seven Networks Inc
• Inventors: Fiatal, Trevor
• Granted Patent: US 9,002,828 B2
• Time in Patent Office: Days
• US Class Current: 707/769
• CPC Class Codes: G06F 16/148 File search processing
• CPC Class Codes: G06F 16/172 Caching, prefetching or hoarding of files
• CPC Class Codes: G06F 16/635 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/636 by using biological or physiological data
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9574 of access to content, e.g. by caching

Abstract

A system and method for predictive retrieval of content is described. Prior to selection and delivery of content to a mobile device by a personal computer, content is predictively retrieved from storage at the computing device. By predictively retrieving content, the content is available for immediate computing device to mobile device transfer.

Claims

1. A method for predictive content retrieval, the method comprising:

receiving a search query at a computing device storing content, the search query generated at a mobile device;

providing search results responsive to the search query, the search results provided to the mobile device by the computing device storing content;

retrieving content from storage at the computing device;

receiving a user request at the computing device storing content, the user request identifying content identified in the search results; and

delivering content to the mobile device, the delivered content being responsive to the user request and retrieved from storage prior to the user request identifying the content.

2. The method of claim 1, further comprising identifying content that is responsive to the search query and that complies with a search constraint that is separate from the search query, wherein only the identified content is subsequently provided to the mobile device as a part of the search results.

3. The method of claim 2, wherein the search constraint includes a preference of a user associated with the requesting mobile device.

4. The method of claim 2, wherein the search constraint includes a capability of the requesting mobile device.

5. The method of claim 2, wherein the search constraint includes a constraint imposed by a network service provider.

6. The method of claim 2, wherein the content includes visual media.

7. The method of claim 2, wherein the content includes audio media.

8. The method of claim 2, wherein the content includes multimedia.

9. The method of claim 2, wherein the content includes documents.

10. The method of claim 2, wherein the content is organized in a hierarchy.

11. The method of claim 2, wherein the content is maintained outside a formal hierarchy.

12. The method of claim 2, wherein content is retrieved from storage prior to the user request identifying the content through execution of a prediction engine to identify a trend corresponding to the content provided as a part of the search results.

13. The method of claim 12, wherein the trend includes an artist.

14. The method of claim 12, wherein the trend includes a file format or bit rate.

15. The method of claim 12, wherein the prediction engine uses metadata to identify a trend.

16. The method of claim 12, wherein the trend is identified from a single connectivity session.

17. The method of claim 12, wherein the trend is identified from a series of connectivity sessions.

18. The method of claim 12, wherein the trend corresponds to an accuracy rate of prior predictions.

19. The method of claim 12, wherein the trend corresponds to a user profile.

20. The method of claim 12, wherein the trend includes an expiration date.