Socially-derived relevance in search engine results

Details Socially-derived relevance in search engine results Socially-derived relevance in search engine results

2007-11-19

2010-11-16

Fleurantin, Jean B. (Department: 2162)

Data processing: database and file management or data structures

Database and file access

Post processing of search results

C707S727000

Reexamination Certificate

active

07836048

ABSTRACT:
A method and apparatus for ranking results from a search engine query is described. In one embodiment, a search engine generates a list of search results in response to a query for a search term to the search engine. A statistical computation engine determines an average frequency of first selection of each hyperlink with respect to its position in a list of hyperlinks, and determines an average frequency of first selection of each search result from the list of search results. A relevance engine compares the average frequency of first selection of a search result from the list of search results with the average frequency of first selection of a corresponding hyperlink in the respective position in the list of hyperlinks, and adjusts the position of the search result in the list of search results based on the comparison.

REFERENCES:
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Sugayama et al., “Refinement of TF-IDF schemes for web pages using their hyperlinked neighboring pages”, Fourteenth ACM conference on Hypertext and hypermedia, Aug. 2003, p. 198-207. Retrieved from the Internet:<URL: http://portal.acm.org/ft—gateway.cfm?id=900096&type=pdf&coll=ACM&dl=ACM&CFID=95418512&CFTOKEN=48371193>.
Lempel et al., “Optimizing result prefetching in web search engines with segmented indices”, ACM Transactions on Internet Technology, vol. 4 , Issue 1 (Feb. 2004), p. 31-59. Retrieved from the Internet:<URL:http://portal.acm.org/ft—gateway.cfm?id=967032&type=pdf&coll=ACM&dl=ACM&CFID=95418512&CFTOKEN=48371193>.

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