Auto-refinement of search results based on monitored search activities of users

• US 8,751,473 B2
• Filed: 10/13/2011
• Issued: 06/10/2014
• Est. Priority Date: 06/16/2005
• Status: Active Grant

• Current Assignee: Gula Consulting Limited Liability Company (Intellectual Ventures LLC)
• Original Assignee: GERE DEV Applications LLC (Intellectual Ventures LLC)
• Inventors: Zwicky, Richard Kazimierz, Hooge, Todd William, Dunn, Matthew
• Primary Examiner(s): NGUYEN, KIM T
• Application Number:
  US13/272,507
• Publication Number:
  US 20120036119A1
• Time in Patent Office: 971 Days
• Field of Search: 707/706, 707/723
• US Class Current: 707/706
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A tracking system passively tracks and records searches conducted by actual search engine users. The recorded data for each search event preferably includes the search query submitted, the search engine used, the search result item (e.g., web page) selected, the position (e.g., page number) of this item, and the user'"'"'s IP address. The collected data is aggregated and analyzed to generate data regarding the search queries used to locate and access particular destinations (e.g., web pages and sites). This data may be used for various purposes, such as (1) to generate reports showing, e.g., how users reach a particular destination from different search engines and geographic locations, (2) to select content to display on a destination page, such that the content is relevant to search queries commonly used to locate that page, and (3) to update the database of one search engine to reflect searches conducted on other search engines.

Claims

1. A computer-implemented method, comprising:

obtaining search activity data relating to searches over a plurality of index-type search engines resulting in a particular location being accessed, wherein the searches comprise a submission of a search query to one of the plurality of index-type search engines, a return of search results associated with the search query, and a selection of a search result associated with the particular location, and wherein the search activity data comprises at least a plurality of different search queries submitted to the plurality of index-type search engines, wherein each of the plurality of index-type search engines comprises a proprietary index for generating search results;

analyzing the search activity data to generate statistical data regarding the plurality of different search queries, the statistical data encompassing search activities over the plurality of index-type search engines; and

updating, based on the statistical data, a search result ranking process of a particular one of the plurality of index-type search engines, wherein the statistical data is based on search activity data of searches conducted via at least one other index-type search engine.

2. The method of claim 1, wherein the particular location is one of the group consisting of a webpage and a particular file.

3. The method of claim 1, wherein the statistical data includes data regarding at least one position at which the particular location appeared in at least one search results listing.

4. The method of claim 1, wherein analyzing the search activity data comprises:

normalizing the search activity data for variations in traffic among the plurality of index-type search engines.

5. The method of claim 4, wherein normalizing the search activity data comprises:

unequally weighting the search activity data.

6. The method of claim 5, wherein unequally weighting the search activity data comprises:

giving substantially zero weight to search activity data corresponding to the particular one of the plurality of index-type search engines.

21. The method of claim 1, wherein the statistical data comprises a number of times that each of the plurality of different search queries was submitted.

22. The method of claim 1, wherein the statistical data comprises a resulting position of the particular location in the search results for a plurality of the searches.

23. The method of claim 1, wherein the statistical data comprises geographical locations from which the plurality of different search queries were submitted to the plurality of index-type search engines.

7. A computer-readable device having instructions embodied thereon, the instructions comprising:

instructions to obtain search activity data relating to searches over a plurality of index-type search engines resulting in a particular location being accessed, wherein the searches comprise a submission of a search query to one of the plurality of index-type search engines, a return of search results associated with the search query, and a selection of a search result associated with the particular location, and wherein the search activity data comprises at least a plurality of different search queries submitted to the plurality of index-type search engines, wherein each of the plurality of index-type search engines comprises a proprietary index for generating search results;

instructions to analyze the search activity data to generate statistical data regarding the plurality of different search queries, the statistical data encompassing search activities over the plurality of index-type search engines; and

instructions to update, based on the statistical data, a search result ranking process of a particular one of the plurality of index-type search engines, wherein the statistical data is based on search activity data of searches conducted via at least one other index-type search engine.

8. The computer-readable device of claim 7, wherein the particular location is one of the group consisting of a webpage and a particular file.

9. The computer-readable device of claim 7, wherein the statistical data includes data regarding at least one position at which the particular location appeared in at least one search results listing.

10. The computer-readable device of claim 7, wherein the instructions to analyze the search activity data comprise:

instructions to normalize the search activity data for variations in traffic among plurality of the index-type search engines.

11. The computer-readable device of claim 10, wherein the instructions to normalize the search activity data comprise:

instructions to unequally weight the search activity data.

12. The computer-readable device of claim 11, wherein the instructions to unequally weight the search activity data comprise:

instructions to give substantially zero weight to search activity data corresponding to the particular one of the plurality of index-type search engines.

13. A computing device comprising:

one or more memories having stored thereon activity data relating to searches over a plurality of index-type search engines resulting in a particular location being accessed, wherein the searches comprise a submission of a search query to one of the plurality of index-type search engines, a return of search results associated with the search query, and a selection of a search result associated with the particular location, and wherein the search activity data comprises at least a plurality of different search queries submitted to the plurality of index-type search engines, wherein each of the plurality of index-type search engines comprises a proprietary index for generating search results; and

an analyzer configured to;

analyze the search activity data to generate statistical data regarding the plurality of different search queries, the statistical data encompassing search activities over the plurality of index-type search engines, and

update, based on the statistical data, a search result ranking process of a particular one of the plurality of index-type search engines, wherein the statistical data is based on search activity data of searches conducted via at least one other index-type search engine.

14. The computing device of claim 13, wherein the analyzer is further configured to normalize the search activity data for variations in traffic among the plurality of index-type search engines.

15. The computing device of claim 14, wherein the analyzer is further configured to unequally weight the search activity data.

16. The computing device of claim 15, wherein the analyzer is further configured to give substantially zero weight to search activity data corresponding to the particular one of the plurality of index-type search engines.

17. A computing system comprising:

means for obtaining, by the computing system, search activity data relating to searches over a plurality of index-type search engines resulting in a particular location being accessed, wherein the searches comprise a submission of a search query to one of the plurality of index-type search engines, a return of search results associated with the search query, and a selection of a search result associated with the particular location, and wherein the search activity data comprises at least a plurality of different search queries submitted to the plurality of index-type search engines, wherein each of the plurality of index-type search engines comprises a proprietary index for generating search results;

means for analyzing, by the computing system, the search activity data to generate statistical data regarding the plurality of different search queries, the statistical data encompassing search activities over the plurality of index-type search engines; and

means for updating, by the computing system and based on the statistical data, a search result ranking process of a particular one of the plurality of index-type search engines, wherein the statistical data is based on search activity data of searches conducted via at least one other index-type search engine.

18. The computing system of claim 17, wherein the means for analyzing the search activity data comprises:

means for normalizing the search activity data for variations in traffic among the plurality of index-type search engines.

19. The computing system of claim 18, wherein the means for normalizing the search activity data comprises:

means for unequally weighting the search activity data.

20. The computing system of claim 19, wherein the means for unequally weighting the search activity data comprises:

means for giving substantially zero weight to search activity data corresponding to the particular one of the plurality of index-type search engines.