Web searching

Details Web searching Web searching

2008-03-27

2010-11-16

Nguyen, Cam-Linh (Department: 2161)

Data processing: database and file management or data structures

Database and file access

Preparing data for information retrieval

C707S737000, C707S739000, C707S751000

Reexamination Certificate

active

07836058

ABSTRACT:
Mislabeled URLs are identified and corrected based upon a click relevance ranking computed from user data comprising user click information. The click relevance ranking is formed by applying a set of relevance ordering rules to user log data aggregated by query and URL and by mapping the results of the relevance ordering rules into a linear ordering. For a given query, the aggregated user log data comprises a relative total number of impression, a relative total number of clicks received and a rank associated with the query/URL pair at the time of the total number of impressions and total number of clicks received. The click relevance ranking is used to identify and correct mislabeled query/URL pairs of other rankings according to a number of disclosed methods.

REFERENCES:
patent: 6640218 (2003-10-01), Golding et al.
patent: 7603348 (2009-10-01), He et al.
patent: 7610282 (2009-10-01), Datar et al.
patent: 2005/0120311 (2005-06-01), Thrall
patent: 2005/0149504 (2005-07-01), Ratnaparkhi
patent: 2005/0154716 (2005-07-01), Watson et al.
patent: 2006/0004891 (2006-01-01), Hurst-Hiller et al.
patent: 2006/0253428 (2006-11-01), Katariya et al.
patent: 2006/0287993 (2006-12-01), Yao et al.
patent: 2007/0208730 (2007-09-01), Agichtein et al.
patent: 2007/0214115 (2007-09-01), Liu et al.
patent: 2007/0255689 (2007-11-01), Sun et al.
Agichtein, et al., “Learning User Interaction Models for Predicting Web Search Result Preferences”, SIGIR'06, Aug. 6-11, 2006, Seattle, Washington, USA, pp. 3-10.
Agichtein, et al., “Improving Web Search Ranking by Incorporating User Behavior Information”, SIGIR'06, Aug. 6-11, 2006, Seattle, Washington, USA, pp. 19-26.
Xue, et al., “Optimizing Web Search Using Web Click-through Data”, CIKM'04, Nov. 8-13, 2004, Washington, DC, USA, pp. 118-126.
Christoph Zimmerli, “Using Clickthrough Data to Improve Web Search Rankings”, Dec. 5, 2007, pp. 1-36.
Zhao, et al., “Adapting Document Ranking to Users' Preferences using Click-through Data”, CIKM'04, Nov. 8-13, 2004, Washington D.C., U.S.A, pp. 1-10.
Cheng, et al., “Scalable Relevance Feedback Using Click-Through Data for Web Image Retrieval”, MM'06, Oct. 23-27, 2006, Santa Barbara, California, USA, pp. 173-176.
Radlinski, et al., “Active Exploration for Learning Rankings from Clickthrough Data”, KDD'07, Aug. 12-15, 2007, San Jose, California, USA, pp. 570-579.
Thorsten Joachims, “Optimizing Search Engines using Clickthrough Data”,SIGKDD 02 Edmonton, Alberta, Canada, pp. 133-142.

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