Customization of search results for search queries received from third party sites

• US 9,192,684 B1
• Filed: 06/05/2009
• Issued: 11/24/2015
• Est. Priority Date: 06/15/2004
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Kamvar, Sepandar D., Haveliwala, Taher H., Jeh, Glen M.
• Primary Examiner(s): NGUYEN, KIM T
• Application Number:
  US12/479,622
• Time in Patent Office: 2,363 Days
• Field of Search: 707/707, 707/723
• US Class Current: 1/1
• CPC Class Codes: A61K 48/00 Medicinal preparations containing genetic material which is inserted into cells of the living body to treat genetic diseases; Gene therapy
• CPC Class Codes: G06F 16/2455 Query execution
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/986 Document structures and storage, e.g. HTML extensions
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 715/968 interface for database querying and retrieval

Abstract

A third party website provides a search interface to a general search engine. A site profile of the third party website describes various topics, keywords, or domains that are potentially relevant or of interest to users who access the third party website. The topics are associated with a topical directory, with domains associated with each topic; the domains in a given topic are given various weightings. When a search is submitted to the general search engine from the third party website via the search interface, the general search engine uses the site profile to customize the search results. The search results are customized by weighting the ranking of documents from websites associated with the topics in the site profile. The site profile can be manually or automatically constructed.

Claims

1. A computer-implemented method comprising:

receiving a request to perform a search, the request comprising a query received through a user interface provided by a third party website;

determining a topic identifier for the third party website that provides the user interface through which the query is received;

mapping the topic identifier for the third party website to one or more weight values, the one or more weight values being associated with a specific topic;

retrieving a set of documents responsive to the query, each document in the set of documents having an information retrieval score;

adjusting the information retrieval score of each of the documents that are associated with the specific topic by at least one of the one or more weight values associated with the specific topic;

ranking the set of documents according to the respective information retrieval scores; and

returning, in response to the request, search results data identifying at least a highest ranking portion of the set of documents and also identifying the rank order of the documents in the highest ranking portion.

2. The method of claim 1, further comprising:

receiving the topic identifier in conjunction with the query.

3. The method of claim 1, further comprising:

determining the topic identifier based on a site identifier associated with the third party website.

4. The method of claim 1, further comprising:

generating the topic identifier based on attributes of the third party website.

5. The method of claim 4, wherein generating the topic identifier comprises:

associating keywords with at least one page of the third party website; and

generating the topic identifier based on topics associated with the keywords.

6. The method of claim 4, wherein generating the topic identifier comprises:

identifying outbound links on one or more pages of the third party website;

determining domains corresponding to the outbound links;

selecting topic identifiers that correspond to the keywords that are associated with the third party website; and

selecting one of the topic identifiers as the topic identifier.

7. The method of claim 4, wherein generating the topic identifier comprises:

identifying inbound links on one or more pages of the third party website;

determining domains corresponding to the inbound links;

selecting topic identifiers that correspond to the keywords that are associated with the third party website; and

selecting one of the topic identifiers as the topic identifier.

8. The method of claim 4, wherein generating the topic identifier comprises:

selecting keywords from previous searches entered on the third party website;

selecting topic identifiers that correspond to the keywords; and

selecting one of the topic identifiers as the topic identifier.

9. The method of claim 1, wherein ranking the set of documents comprises:

ranking the set of documents in response to a degree of influence of the topic identifier.

10. The method of claim 9, wherein ranking the set of documents comprises:

weighting an information retrieval score of each document by the degree of influence of the topic identifier.

11. A non-transitory computer-readable medium encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations comprising:

receiving a request to perform a search, the request comprising a query received through a user interface provided by a third party website;

determining a topic identifier for the third party website that provides the user interface through which the query is received;

mapping the topic identifier for the third party website to one or more weight values, the one or more weight values being associated with a specific topic;

retrieving a set of documents responsive to the query, each document in the set of documents having an information retrieval score;

adjusting the information retrieval score of each of the documents that are associated with the specific topic by at least one of the one or more weight values associated with the specific topic;

ranking the set of documents according to the respective information retrieval scores; and

returning, in response to the request, search results data identifying at least a highest ranking portion of the set of documents and also identifying the rank order of the documents in the highest ranking portion.

12. The computer-readable medium of claim 11, wherein the operations further comprise:

receiving the topic identifier in conjunction with the query.

13. The computer-readable medium of claim 11, wherein the operations further comprise:

determining the topic identifier based on a site identifier associated with the third party website.

14. The computer-readable medium of claim 11, wherein the operations further comprise:

generating the topic identifier based on attributes of the third party website.

15. The computer-readable medium of claim 14, wherein generating the topic identifier comprises:

associating keywords with at least one page of the third party website; and

generating the topic identifier based on topics associated with the keywords.

26. The computer-readable medium of claim 14, wherein generating the topic identifier comprises:

identifying outbound links on one or more pages of the third party website;

determining domains corresponding to the outbound links;

selecting topic identifiers that correspond to the keywords that are associated with the third party website; and

selecting one of the topic identifiers as the topic identifier.

27. The computer-readable medium of claim 14, wherein generating the topic identifier comprises:

identifying inbound links on one or more pages of the third party website;

determining domains corresponding to the inbound links;

selecting topic identifiers that correspond to the keywords that are associated with the third party website; and

selecting one of the topic identifiers as the topic identifier.

28. The computer-readable medium of claim 14, wherein generating the topic identifier comprises:

selecting keywords from previous searches entered on the third party website;

selecting topic identifiers that correspond to the keywords; and

selecting one of the topic identifiers as the topic identifier.

29. The computer-readable medium of claim 14, wherein ranking the set of documents comprises:

ranking the set of documents in response to a degree of influence of the topic identifier.

30. The computer-readable medium of claim 29, wherein ranking the set of documents comprises:

weighting an information retrieval score of each document by the degree of influence of the topic identifier.

16. A system comprising:

one or more computers; and

a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising;

receiving a request to perform a search, the request comprising a query received through a user interface provided by a third party website;

determining a topic identifier for the third party website that provides the user interface through which the query is received;

mapping the topic identifier for the third party website to one or more weight values, the one or more weight values being associated with a specific topic;

retrieving a set of documents responsive to the query, each document in the set of documents having an information retrieval score;

adjusting the information retrieval score of each of the documents that are associated with the specific topic by at least one of the one or more weight values associated with the specific topic;

ranking the set of documents according to the respective information retrieval scores; and

returning, in response to the request, search results data identifying at least a highest ranking portion of the set of documents and also identifying the rank order of the documents in the highest ranking portion.

17. The system of claim 16, wherein the operations further comprise:

receiving the topic identifier in conjunction with the query.

18. The system of claim 16, wherein the operations further comprise:

determining the topic identifier based on a site identifier associated with the third party website.

19. The system of claim 16, wherein the operations further comprise:

generating the topic identifier based on attributes of the third party website.

20. The system of claim 19, wherein generating the topic identifier comprises:

associating keywords with at least one page of the third party website; and

generating the topic identifier based on topics associated with the keywords.

21. The system of claim 19, wherein generating the topic identifier comprises:

identifying outbound links on one or more pages of the third party website;

determining domains corresponding to the outbound links;

selecting topic identifiers that correspond to the keywords that are associated with the third party website; and

selecting one of the topic identifiers as the topic identifier.

22. The system of claim 19, wherein generating the topic identifier comprises:

identifying inbound links on one or more pages of the third party website;

determining domains corresponding to the inbound links;

selecting topic identifiers that correspond to the keywords that are associated with the third party website; and

selecting one of the topic identifiers as the topic identifier.

23. The system of claim 19, wherein generating the topic identifier comprises:

selecting keywords from previous searches entered on the third party website;

selecting topic identifiers that correspond to the keywords; and

selecting one of the topic identifiers as the topic identifier.

24. The system of claim 16, wherein ranking the set of documents comprises:

ranking the set of documents in response to a degree of influence of the topic identifier.

25. The system of claim 24, wherein ranking the set of documents comprises:

weighting an information retrieval score of each document by the degree of influence of the topic identifier.