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

• US 10,621,187 B2
• Filed: 10/09/2017
• Issued: 04/14/2020
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Sandland, Nathan Leslie, Bayer, Jason, Park, Cheol Ho
• Primary Examiner(s): To, Baoquoc N
• Application Number:
  US15/727,839
• Publication Number:
  US 20180032530A1
• Time in Patent Office: 918 Days
• Field of Search: 707706, 707717, 707730
• 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 memory; and

a hardware processor that, when executing computer-executable instructions stored in the memory, is configured to;

receive a query for one or more media assets;

determine contextual information from at least a portion of web search results that are responsive to the query;

determine media entity information from at least a portion of the contextual information;

select an entity from the media entity information based on occurrence in the web search results;

identify a media asset based on the selected entity; and

cause the media asset to be presented in response to the query.

2. The system of claim 1, wherein the hardware processor is further configured to identify a plurality of web search results from a corpus of web resources that are responsive to the query.

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

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

assign a topic score for the each of the media entity information based on occurrence in the portion of web search results; and

increment the topic score for a media entity upon determining that a page corresponding to a web search result relates to the entity;

wherein the entity is selected from the media entity information based on the topic score.

5. The system of claim 1, wherein a plurality of media assets are identified based on the selected entity and wherein a subset of the plurality of media assets are presented in response to the query.

6. The system of claim 5, 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 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 web site.

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

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

determining, using the hardware processor, contextual information from at least a portion of web search results that are responsive to the query;

determining, using the hardware processor, media entity information from at least a portion of the contextual information;

selecting, using the hardware processor, an entity from the media entity information based on occurrence in the web search results;

identifying, using the hardware processor, a media asset based on the selected entity; and

causing, using the hardware processor, the media asset to be presented in response to the query.

9. The method of claim 8, further comprising identifying a plurality of web search results from a corpus of web resources that are responsive to the query.

10. The method of claim 9, further comprising rewriting the 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 8, further comprising:

assigning a topic score for the each of the media entity information based on occurrence in the portion of web search results; and

incrementing the topic score for a media entity upon determining that a page corresponding to a web search result relates to the entity;

wherein the entity is selected from the media entity information based on the topic score.

12. The method of claim 8, wherein a plurality of media assets are identified based on the selected entity and wherein a subset of the plurality of media assets are presented in response to the query.

13. The method of claim 12, 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.

14. The method of claim 8, 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.

15. 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 query for one or more media assets;

determining contextual information from at least a portion of web search results that are responsive to the query;

determining media entity information from at least a portion of the contextual information;

selecting an entity from the media entity information based on occurrence in the web search results;

identifying a media asset based on the selected entity; and

causing the media asset to be presented in response to the query.

16. The non-transitory computer-readable medium of claim 15, wherein the method further comprises identifying a plurality of web search results from a corpus of web resources that are responsive to the query.

17. The non-transitory computer-readable medium of claim 16, wherein the method further comprises rewriting the query by inserting one or more media terms prior to identifying the plurality of web search results from the corpus of web resources.

18. The non-transitory computer-readable medium of claim 15, wherein the method further comprises:

assigning a topic score for the each of the media entity information based on occurrence in the portion of web search results; and

incrementing the topic score for a media entity upon determining that a page corresponding to a web search result relates to the entity;

wherein the entity is selected from the media entity information based on the topic score.

19. The non-transitory computer-readable medium of claim 15, wherein a plurality of media assets are identified based on the selected entity and wherein a subset of the plurality of media assets are presented in response to the query.

20. The non-transitory computer-readable medium of claim 19, 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.

21. The non-transitory computer-readable medium of claim 15, 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.