Intelligent identification of multimedia content for grouping

• US 9,501,547 B2
• Filed: 01/27/2014
• Issued: 11/22/2016
• Est. Priority Date: 12/30/2004
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Biderman, David L.
• Primary Examiner(s): LE, THIEN MINH
• Application Number:
  US14/165,128
• Publication Number:
  US 20140143204A1
• Time in Patent Office: 1,030 Days
• Field of Search: 23547201-47203, 235/375, 235/486, 235/487
• US Class Current: 1/1
• CPC Class Codes: G06F 16/215 Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
• CPC Class Codes: G06F 16/235 Update request formulation
• CPC Class Codes: G06F 16/275 Synchronous replication
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: H04L 41/0803 Configuration setting
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/1095 Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes

Abstract

An intelligent synchronization tool ensures access to desired content in a manner that automatically keeps the content current on the portable media device. A variation threshold or user-specified degree of content variation may be introduced among content downloaded to a user'"'"'s mobile device to prevent the user from becoming bored. Furthermore, intelligent synchronization may automatically populate the portable media device with popular content to save a user time and/or use passive monitoring techniques to ascertain a user'"'"'s preferences for subsequent population.

Claims

1. A method comprising:

identifying, by at least one processor of a client device, at least one user-defined rule for selection of content;

determining, by the at least one processor of the client device, content selections from a user content library on the client device that meet the at least one user-defined rule;

generating a group of content selections including the determined content selections that meet the at least one user-defined rule;

detecting, by the at least one processor of the client device, that additional content has been downloaded to the user content library on the client device from a server over a network;

determining, by the at least one processor of the client device in response to the detected additional content and without a user request, additional content selections from the additional content that meet the at least one user-defined rule; and

adding, by the at least one processor of the client device, the content selections from the determined additional content selections that meet the at least one user-defined rule to the group of content selections.

2. The method as recited in claim 1, further comprising monitoring user interaction with content selections in the content library.

3. The method as recited in claim 2, wherein monitoring user interaction with content selections comprises monitoring a number of times content selections are played, skipped, or repeated.

4. The method as recited in claim 3, wherein the at least one user-defined rule specifies a threshold popularity based on the number of times content sections are played.

5. The method as recited in claim 4, wherein a second user-defined rule specifies a genre or mood.

6. The method as recited in claim 1, further comprising:

syncing the group of content selections from the client device to a portable player;

detecting that the additional content is downloaded to the user content library after syncing to the portable player; and

syncing the additional content selections that meet the at least one user-defined rule from the client device to the portable player.

7. The method as recited in claim 6, further comprising:

monitoring user interaction with content selections on the portable player; and

updating the group of content selections by determining content selections from the user library that meet a threshold popularity defined by the at least one user-defined rule based on the monitored user interaction with the content selections on the portable player and monitored user interaction with the content selections in the content library.

8. The method as recited in claim 1, wherein the content selections comprise videos.

9. The method as recited in claim 1, wherein the content selections comprise audio files.

10. A non-transitory computer-readable storage medium including a set of computer-executable instructions that, when executed by at least one processor of a computer system, cause the computer system to:

identify at least one user-defined rule for selection of content;

determine content selections from a user content library on a client device that meet the at least one user-defined rule;

generating a group of content selections including the determined content selections that meet the at least one user-defined rule;

detect that additional content has been downloaded to the user content library on the client device from a server over a network;

determine, in response to the detected additional content and without a user request, additional content selections from the additional content that meet the at least one user-defined rule; and

add the content selections from the determined additional content selections that meet the at least one user-defined rule to the group of content selections.

11. The non-transitory computer-readable storage medium as recited in claim 10, wherein the instructions, when executed by the at least one processor, further cause the system to monitor user interaction with content selections in the content library.

12. The non-transitory computer-readable storage medium as recited in claim 11, wherein monitoring user interaction with content selections comprises monitoring a number of times content selections are played, skipped, or repeated.

13. The non-transitory computer-readable storage medium as recited in claim 12, wherein the at least one user-defined rule specifies content sections that are played the most.

14. The non-transitory computer-readable storage medium as recited in claim 13, wherein a second user-defined rule specifies a genre or mood.

15. A method comprising:

identifying, by at least one processor of a client device, a selection by a user of a piece of content from a content library on the client device;

determining, by the at least one processor of the client device, content selections related to the user-selected piece of content;

generating a group of content selections including the content selections determined to be related to the user-selected piece of content;

detecting, by the at least one processor of the client device, that additional content has been downloaded to the content library on the client device from a server over a network;

determining, by the at least one processor of the client device in response to the detected additional content and without a user request, additional content selections from the additional content that are related to the user-selected piece of content; and

adding, by the at least one processor of the client device, the content selections from the determined additional content selections related to the user-selected piece of content to the group of content selections.

16. The method as recited in claim 15, wherein generating the group of content selections comprises grouping a predetermined number of the content selections determined to be related to the user-selected piece of content, the predetermined number being specified by the user.

17. The method as recited in claim 15, wherein determining content selections related to the user-selected piece of content comprises identifying content selections with a same genre, a same artist, a same tempo, or a same theme as the user-selected piece of content.

18. The method as recited in claim 15, wherein determining content selections related to the user-selected piece of content comprises identifying content selections from the content library, the content library being associated with the user.

19. The method as recited in claim 15, wherein determining content selections related to the user-selected piece of content comprises identifying promotional content not in the content library.

20. The method as recited in claim 19, further comprising:

providing a user-selectable option to purchase the promotional content; and

receiving a selection from the user of the option to purchase the promotional content; and

adding the promotional content to the content library.