Methods, systems, and media for providing a media search engine

• US 9,063,984 B1
• Filed: 03/15/2013
• Issued: 06/23/2015
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Sandland, Nathan Leslie, Bayer, Jason, Park, Cheol Ho
• Primary Examiner(s): To, Baoquoc N
• Application Number:
  US13/833,449
• Time in Patent Office: 830 Days
• Field of Search: 707/705, 707/706
• US Class Current: 1/1
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/24534 Query rewriting; Transformation
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/285 Clustering or classification
• 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: G06F 16/86 Mapping to a database
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06F 16/955 using information identifiers, e.g. uniform resource locators [URL]

Abstract

Methods, systems, and media for providing a media search engine are provided. In some implementations, a method for searching for content is provided, the method comprising: receiving a media search query for media assets; identifying web search results from a corpus of web resources that are responsive to the media search query, wherein each of the web search results has an associated relevancy score; determining keyword information and contextual information from a subset of the web search results, wherein the subset of the web search results is selected from the web search results based on the associated relevancy score and wherein media entities are determined from at least a portion of the keyword information and the contextual information; assigning a topic score for the each of the media entities based on occurrence in the web search results; selecting at least one media entity from the media entities based on the topic score; identifying media assets from a corpus of media assets based at least in part on the selected media entity; and causing a subset of the media assets to be presented to a user in response to the media search query.

Claims

1. A system for searching for content, the system comprising:

a hardware processor that is configured to;

receive a media search query for one or more media assets;

identify a plurality of web search results from a corpus of web resources that are responsive to the media search query, wherein each of the web search results has an associated relevancy score;

determine keyword information and contextual information from a subset of the web search results, wherein the subset of the web search results is selected from the plurality of web search results based on the associated relevancy score and wherein a plurality of media entities are determined from at least a portion of the keyword information and the contextual information;

assign a topic score for the each of the plurality of media entities based on occurrence in the web search results;

select at least one media entity from the plurality of media entities based on the topic score;

identify a plurality of media assets from a corpus of media assets based at least in part on the selected media entity; and

cause a subset of the plurality of media assets to be presented to a user in response to the media search query.

2. The system of claim 1, wherein the hardware processor is further configured to rewrite the media search query by inserting one or more media terms prior to identifying the plurality of web search results from the corpus of web resources.

3. The system of claim 1, wherein the hardware processor is further configured to parse the keyword information from the subset of the web search results.

4. The system of claim 1, wherein the hardware processor is further configured to increment the topic score for a media entity upon determining that a page corresponding to a web search result relates to the media entity.

5. The system of claim 1, wherein the hardware processor is further configured to access an entity table that maps a web resource identifier corresponding to a web search result to a media entity, wherein the web resource identifier comprises a link to a related website.

6. The system of claim 1, wherein the hardware processor is further configured to:

determine a quality score for each of the plurality of identified media assets; and

filter the at least a subset of the plurality of media assets based on the determined quality score.

7. The system of claim 1, wherein the hardware processor is further configured to:

identify a second plurality of media assets from a media data feed that are responsive to the media search query; and

cause a plurality of one or more the plurality of media assets, one or more of the plurality of web search results, and one or more of the second plurality of media assets to be presented to the user in response to the media search query.

8. The system of claim 1, wherein the hardware processor is further configured to present the subset of the plurality of media assets as media content identifiers, wherein a selection of one of the media content identifiers provides the user with access to a corresponding media content item.

9. A method for searching for content, the method comprising:

receiving, using a hardware processor, a media search query for one or more media assets;

identifying, using the hardware processor, a plurality of web search results from a corpus of web resources that are responsive to the media search query, wherein each of the web search results has an associated relevancy score;

determining, using the hardware processor, keyword information and contextual information from a subset of the web search results, wherein the subset of the web search results is selected from the plurality of web search results based on the associated relevancy score and wherein a plurality of media entities are determined from at least a portion of the keyword information and the contextual information;

assigning, using the hardware processor, a topic score for the each of the plurality of media entities based on occurrence in the web search results;

selecting, using the hardware processor, at least one media entity from the plurality of media entities based on the topic score;

identifying, using the hardware processor, a plurality of media assets from a corpus of media assets based at least in part on the selected media entity; and

causing, using the hardware processor, a subset of the plurality of media assets to be presented to a user in response to the media search query.

10. The method of claim 9, further comprising rewriting the media search query by inserting one or more media terms prior to identifying the plurality of web search results from the corpus of web resources.

11. The method of claim 9, further comprising parsing the keyword information from the subset of the web search results.

12. The method of claim 9, further comprising incrementing the topic score for a media entity upon determining that a page corresponding to a web search result relates to the media entity.

13. The method of claim 9, further comprising accessing an entity table that maps a web resource identifier corresponding to a web search result to a media entity, wherein the web resource identifier comprises a link to a related website.

14. The method of claim 9, further comprising:

determining a quality score for each of the plurality of identified media assets; and

filtering the at least a subset of the plurality of media assets based on the determined quality score.

15. The method of claim 9, further comprising:

identifying a second plurality of media assets from a media data feed that are responsive to the media search query; and

causing a plurality of one or more the plurality of media assets, one or more of the plurality of web search results, and one or more of the second plurality of media assets to be presented to the user in response to the media search query.

16. The method of claim 9, further comprising presenting the subset of the plurality of media assets as media content identifiers, wherein a selection of one of the media content identifiers provides the user with access to a corresponding media content item.

17. A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for searching for content, the method comprising:

receiving a media search query for one or more media assets;

identifying a plurality of web search results from a corpus of web resources that are responsive to the media search query, wherein each of the web search results has an associated relevancy score;

determining keyword information and contextual information from a subset of the web search results, wherein the subset of the web search results is selected from the plurality of web search results based on the associated relevancy score and wherein a plurality of media entities are determined from at least a portion of the keyword information and the contextual information;

assigning a topic score for the each of the plurality of media entities based on occurrence in the web search results;

selecting at least one media entity from the plurality of media entities based on the topic score;

identifying a plurality of media assets from a corpus of media assets based at least in part on the selected media entity; and

causing a subset of the plurality of media assets to be presented to a user in response to the media search query.

18. The non-transitory computer-readable medium of claim 17, wherein the method further comprises rewriting the media search query by inserting one or more media terms prior to identifying the plurality of web search results from the corpus of web resources.

19. The non-transitory computer-readable medium of claim 17, wherein the method further comprises parsing the keyword information from the subset of the web search results.

20. The non-transitory computer-readable medium of claim 17, wherein the method further comprises incrementing the topic score for a media entity upon determining that a page corresponding to a web search result relates to the media entity.

21. The non-transitory computer-readable medium of claim 17, wherein the method further comprises accessing an entity table that maps a web resource identifier corresponding to a web search result to a media entity, wherein the web resource identifier comprises a link to a related website.

22. The non-transitory computer-readable medium of claim 17, wherein the method further comprises:

determining a quality score for each of the plurality of identified media assets; and

filtering the at least a subset of the plurality of media assets based on the determined quality score.

23. The non-transitory computer-readable medium of claim 17, wherein the method further comprises:

identifying a second plurality of media assets from a media data feed that are responsive to the media search query; and

causing a plurality of one or more the plurality of media assets, one or more of the plurality of web search results, and one or more of the second plurality of media assets to be presented to the user in response to the media search query.

24. The non-transitory computer-readable medium of claim 17, wherein the method further comprises presenting the subset of the plurality of media assets as media content identifiers, wherein a selection of one of the media content identifiers provides the user with access to a corresponding media content item.