METHODS, SYSTEMS, AND MEDIA FOR PRESENTING RECOMMENDED MEDIA CONTENT ITEMS

• US 20150134653A1
• Filed: 12/05/2013
• Published: 05/14/2015
• Est. Priority Date: 11/13/2013
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Bayer, Jason, Liu, Eric HC, Chau, Stephen, Glowaty, Grzegorz, Lee, Calvin, Simon, Randy
• Granted Patent: US 9,552,395 B2
• Time in Patent Office: Days
• US Class Current: 707/732
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/9038 Presentation of query results
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: H04N 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08
• CPC Class Codes: H04N 21/25841 involving the geographical location of the client retrieval from the Internet by querying based on geographical locations G06F16/9537; arrangements for identifying locations of receiving stations in broadcast systems H04H60/51; location of the user terminal in data switching networks H04L67/52; services making use of the location of users or terminals in wireless networks H04W4/02; locating users or terminals in wireless networks H04W64/00
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/4314 for fitting data in a restricted space on the screen, e.g. EPG data in a rectangular grid
• CPC Class Codes: H04N 21/4622 Retrieving content or additional data from different sources, e.g. from a broadcast channel and the Internet web site content organization and management for information retrieval from the Internet G06F16/958; transmission by internet of broadcast information H04H60/82; stock exchange data over packet-switching network H04L12/1804; push services including data channel over packet-switching network H04L12/1859
• CPC Class Codes: H04N 21/4668 for recommending content, e.g. movies
• CPC Class Codes: H04N 21/4826 using recommendation lists, e.g. of programs or channels sorted out according to their score
• CPC Class Codes: H04N 21/4828 for searching program descriptors retrieval of video data G06F16/739
• CPC Class Codes: H04N 21/485 End-user interface for client configuration
• CPC Class Codes: H04N 21/8133 specifically related to the content, e.g. biography of the actors in a movie, detailed information about an article seen in a video program
• CPC Class Codes: H04N 21/84 Generation or processing of descriptive data, e.g. content descriptors systems specially adapted for using meta-information in broadcast systems H04H60/73

Abstract

In accordance with some implementations of the disclosed subject matter, mechanisms for presenting recommended media content items are provided. In some implementations, a method for providing media guidance is provided, the method comprising: receiving a query from a user; determining search terms from the received query; determining location information corresponding to the user and popularity information associated with a plurality of media content items and a plurality of content sources; selecting a media content item from the plurality of media content items based at least in part on the popularity information associated with each of the plurality of media content items and the search terms from the received query, wherein the selected media content item is available from the plurality of content sources; selecting at least one content source from the plurality of content sources based at least in part on the location information associated with the user and the popularity information associated with each of the plurality of content sources; and causing a recommendation interface to be presented to the user, wherein the recommendation interface includes the selected media content item that is provided from the at least one selected content source.

Claims

1. A method for providing media guidance, the method comprising:

receiving a query from a user;

determining search terms from the received query;

determining location information corresponding to the user and popularity information associated with a plurality of media content items and a plurality of content sources;

selecting a media content item from the plurality of media content items based at least in part on the popularity information associated with each of the plurality of media content items and the search terms from the received query, wherein the selected media content item is available from the plurality of content sources;

selecting at least one content source from the plurality of content sources based at least in part on the location information associated with the user and the popularity information associated with each of the plurality of content sources; and

causing a recommendation interface to be presented to the user, wherein the recommendation interface includes the selected media content item that is provided from the at least one selected content source.

2. The method of claim 1, further comprising:

extracting location terms and timing terms as search terms from the received query; and

searching through the plurality of media content items for media content items that match the extracted location terms and the extracted timing terms.

3. The method of claim 2, further comprising:

ranking the matching media content items based at least in part on the associated popularity information; and

selecting a subset of the matching media content items based on the ranking.

4. The method of claim 3, wherein the recommendation interface includes the subset of the matching media content items and wherein each of the media content items in the subset of the matching media content items is selectable by the user.

5. The method of claim 1, further comprising determining a subset of the plurality of content sources for providing the selected media content item, wherein the subset of the plurality of content sources includes live content sources that are available to the user based on the location information and the associated popularity information.

6. The method of claim 1, further comprising determining a subset of the plurality of content sources for providing the selected media content item, wherein the subset of the plurality of content sources includes on-demand content sources that are available to the user based on one or more of the associated popularity information, applications installed on a device associated with the user, and historical information associated with the user.

7. The method of claim 1, further comprising determining a subset of the plurality of content sources for providing the selected media content item, wherein the subset of the plurality of content sources includes on-demand content sources that are available to the user having an external streaming media device.

8. The method of claim 1, further comprising determining a subset of the plurality of content sources for providing the selected media content item, wherein the subset of the plurality of content sources includes on-demand content sources that are available based on applications associated with media devices that are at or near the location information associated with the user.

9. The method of claim 1, further comprising:

extracting device terms from the received query; and

searching through the plurality of media content items for matching media content items that are provided by a media device corresponding to the device terms in the received query.

10. The method of claim 1, wherein the recommendation interface includes one or more recommendation reasons that the media content item was selected for the user.

11. A system for providing media guidance, the system comprising:

a hardware processor that is configured to;

receive a query from a user;

determine search terms from the received query;

determine location information corresponding to the user and popularity information associated with a plurality of media content items and a plurality of content sources;

select a media content item from the plurality of media content items based at least in part on the popularity information associated with each of the plurality of media content items and the search terms from the received query, wherein the selected media content item is available from the plurality of content sources;

select at least one content source from the plurality of content sources based at least in part on the location information associated with the user and the popularity information associated with each of the plurality of content sources; and

cause a recommendation interface to be presented to the user, wherein the recommendation interface includes the selected media content item that is provided from the at least one selected content source.

12. The system of claim 11, wherein the hardware processor is further configured to:

extract location terms and timing terms as search terms from the received query; and

search through the plurality of media content items for media content items that match the extracted location terms and the extracted timing terms.

13. The system of claim 12, wherein the hardware processor is further configured to:

rank the matching media content items based at least in part on the associated popularity information; and

select a subset of the matching media content items based on the ranking.

14. The system of claim 11, wherein the recommendation interface includes the subset of the matching media content items and wherein each of the media content items in the subset of the matching media content items is selectable by the user.

15. The system of claim 11, wherein the hardware processor is further configured to determine a subset of the plurality of content sources for providing the selected media content item and wherein the subset of the plurality of content sources includes live content sources that are available to the user based on the location information and the associated popularity information.

16. The system of claim 11, wherein the hardware processor is further configured to determine a subset of the plurality of content sources for providing the selected media content item and wherein the subset of the plurality of content sources includes on-demand content sources that are available to the user based on one or more of the associated popularity information, applications installed on a device associated with the user, and historical information associated with the user.

17. The system of claim 11, wherein the hardware processor is further configured to determine a subset of the plurality of content sources for providing the selected media content item and wherein the subset of the plurality of content sources includes on-demand content sources that are available to the user having an external streaming media device.

18. The system of claim 11, wherein the hardware processor is further configured to determine a subset of the plurality of content sources for providing the selected media content item, wherein the subset of the plurality of content sources includes on-demand content sources that are available based on applications associated with media devices that are at or near the location information associated with the user.

19. The system of claim 11, wherein the hardware processor is further configured to:

extract device terms from the received query; and

search through the plurality of media content items for matching media content items that are provided by a media device corresponding to the device terms in the received query.

20. The system of claim 11, wherein the recommendation interface includes one or more recommendation reasons that the media content item was selected for the user.

21. A non-transitory computer-readable medium containing computer executable instructions that, when executed by a processor, cause the processor to perform a method for providing media guidance, the method comprising:

receiving a query from a user;

determining search terms from the received query;

determining location information corresponding to the user and popularity information associated with a plurality of media content items and a plurality of content sources;

selecting a media content item from the plurality of media content items based at least in part on the popularity information associated with each of the plurality of media content items and the search terms from the received query, wherein the selected media content item is available from the plurality of content sources;

selecting at least one content source from the plurality of content sources based at least in part on the location information associated with the user and the popularity information associated with each of the plurality of content sources; and

causing a recommendation interface to be presented to the user, wherein the recommendation interface includes the selected media content item that is provided from the at least one selected content source.

22. The non-transitory computer-readable medium of claim 21, wherein the method further comprises:

extracting location terms and timing terms as search terms from the received query; and

searching through the plurality of media content items for media content items that match the extracted location terms and the extracted timing terms.

23. The non-transitory computer-readable medium of claim 21, wherein the method further comprises:

ranking the matching media content items based at least in part on the associated popularity information; and

selecting a subset of the matching media content items based on the ranking.

24. The non-transitory computer-readable medium of claim 23, wherein the recommendation interface includes the subset of the matching media content items and wherein each of the media content items in the subset of the matching media content items is selectable by the user.

25. The non-transitory computer-readable medium of claim 21, wherein the method further comprises determining a subset of the plurality of content sources for providing the selected media content item, wherein the subset of the plurality of content sources includes live content sources that are available to the user based on the location information and the associated popularity information.

26. The non-transitory computer-readable medium of claim 21, wherein the method further comprises determining a subset of the plurality of content sources for providing the selected media content item, wherein the subset of the plurality of content sources includes on-demand content sources that are available to the user based on one or more of the associated popularity information, applications installed on a device associated with the user, and historical information associated with the user.

27. The non-transitory computer-readable medium of claim 21, wherein the method further comprises determining a subset of the plurality of content sources for providing the selected media content item, wherein the subset of the plurality of content sources includes on-demand content sources that are available to the user having an external streaming media device.

28. The non-transitory computer-readable medium of claim 21, wherein the method further comprises determining a subset of the plurality of content sources for providing the selected media content item, wherein the subset of the plurality of content sources includes on-demand content sources that are available based on applications associated with media devices that are at or near the location information associated with the user.

29. The non-transitory computer-readable medium of claim 21, wherein the method further comprises:

extracting device terms from the received query; and

searching through the plurality of media content items for matching media content items that are provided by a media device corresponding to the device terms in the received query.

30. The non-transitory computer-readable medium of claim 21, wherein the recommendation interface includes one or more recommendation reasons that the media content item was selected for the user.