Automated analysis of user search behavior

Data processing: database and file management or data structures – Database and file access

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C707S999003, C715S252000, C715S252000, C715S252000

Reexamination Certificate

active

08037042

ABSTRACT:
Automated analysis of user search behavior is provided. Data on user searches is maintained in a user search database. Relevance factors are determined for each search result included in a given search session where the relevance factors provide an indication of user satisfaction with particular search results included in the session. The relevance factors for each search result are analyzed by a relevance classification module for classifying each search result in terms of its relevance to an associated search query. The result of the relevance classification may assign a relevance classification and associated confidence level to each analyzed search result as to whether the search result is acceptable, unacceptable or partially acceptable relative to the search query that resulted in the search result. Relevance classifications for each analyzed search result may be stored for future use, for example, for diagnostic analysis of the operation of a given search mechanism.

REFERENCES:
patent: 5201047 (1993-04-01), Maki
patent: 5241671 (1993-08-01), Reed
patent: 5652880 (1997-07-01), Seagraves
patent: 5724571 (1998-03-01), Woods
patent: 5855015 (1998-12-01), Shoham
patent: 5864845 (1999-01-01), Voorhees
patent: 6006225 (1999-12-01), Bowman
patent: 6397212 (2002-05-01), Biffar
patent: 6678679 (2004-01-01), Bradford
patent: 6732088 (2004-05-01), Glance
patent: 6832218 (2004-12-01), Emens
patent: 6839680 (2005-01-01), Liu
patent: 7062487 (2006-06-01), Nagaishi
patent: 7069254 (2006-06-01), Foulger
patent: 7082428 (2006-07-01), Denny
patent: 7092936 (2006-08-01), Alonso
patent: 7117208 (2006-10-01), Tamayo
patent: 7130849 (2006-10-01), Yayoi et al.
patent: 7165105 (2007-01-01), Reiner
patent: 7283997 (2007-10-01), Howard et al.
patent: 7424469 (2008-09-01), Ratnaparkhi
patent: 2002/0112048 (2002-08-01), Gruyer
patent: 2003/0014399 (2003-01-01), Hansen et al.
patent: 2003/0018626 (2003-01-01), Kay
patent: 2003/0144994 (2003-07-01), Wen et al.
patent: 2004/0260688 (2004-12-01), Gross
patent: 2005/0071328 (2005-03-01), Lawrence
patent: 2005/0125374 (2005-06-01), Curtis
patent: 2005/0125382 (2005-06-01), Karnawat et al.
patent: 2005/0125390 (2005-06-01), Hurst-Hiller
patent: 2005/0125391 (2005-06-01), Curtis
patent: 2005/0131866 (2005-06-01), Badros et al.
patent: 2005/0149504 (2005-07-01), Ratnaparkhi
patent: 2005/0210024 (2005-09-01), Hurst-Hiller et al.
patent: 2005/0222987 (2005-10-01), Vadon
patent: 2005/0228788 (2005-10-01), Dahn
patent: 2005/0234972 (2005-10-01), Zeng
patent: 2005/0289140 (2005-12-01), Ford
patent: 2006/0026147 (2006-02-01), Cone
patent: 2006/0041548 (2006-02-01), Parsons
patent: 2006/0064411 (2006-03-01), Gross et al.
patent: 2006/0085401 (2006-04-01), Anderson
patent: 2006/0224579 (2006-10-01), Zheng
patent: 2006/0224583 (2006-10-01), Fikes
patent: 2006/0224587 (2006-10-01), Zamir
patent: 2006/0224608 (2006-10-01), Zamir
patent: 2006/0224938 (2006-10-01), Fikes
patent: 2006/0230040 (2006-10-01), Curtis
patent: 2006/0259861 (2006-11-01), Watson
patent: 2006/0259867 (2006-11-01), Watson
patent: 2006/0294095 (2006-12-01), Berk
patent: 2007/0005646 (2007-01-01), Dumais
patent: 2008/0140607 (2008-06-01), Chi
patent: 2008/0281808 (2008-11-01), Anderson et al.
patent: 1 708 105 (2006-10-01), None
Agichtein et al., “Improving Web Search Ranking by Inincorporting User Behavior Information,” SIGIR '06, Seattle, WA, Aug. 6-11, 2006, pp. 19-26.
Glover, et al., “Improving Category Specific Webe Search by Learing Query Modifications,” SAINT 2001, San Diego, CA., Jan. 8-12, 2001, pp. 23-31.
US Non-Final Office Action mailed Sep. 16, 2009 for US Appl. No. 11/803,018.
Zamir, et al., “Grouper: A Dynamic Clusering Interface to Web Search Results,” Proc. of the 18th International Conf. on the World Wide Web, Toronto, Canada, © 1999, pp. 1-15.
Zhang et al., “Improving Web Search Results using AffinityGraph,” SIGIR '05, Salvador, Brazil, Aug. 15-19, 2005, pp. 504-511.
Bucklin, Randolph E., et. al. “A Model of Web Site Browsing Behavior Estimated on Clickstream Data,” Aug. 2003, University of California—Los Angeles and University of Southern California, pp. 249-267, http://www.anderson.ucla.edu/faculty/randy.bucklin/papers/bucklinandsismeiro2003.pdf.
Liang, Ting-Peng, et. al., “Discovering User Interests from Web Browsing Behavior: An Application to Internet News Services,” 2002, National Sun Yat-sen University, pp. 1-10, http://www.hicss.hawaii.edu/HICSS—35/HICSSpapers/PDFdocuments/INMIW07.pdf.
Claypool, Mark, et. al., “Inferring User Interest,” Aug. 31, 2001, Worcester Polytechnic Institute, pp. 1-17, http://www.cs.wpi.edu/˜claypool/papers/iui/iui.ps.gz.
Manavoglu, Eren, et. al., “Probabilistic User Behavior Models,” 2003, Pennsylvania State University and Yahoo Inc., pp. 1-8, http://clgiles.ist.psu.edu/papers/ICDM-2003-probabilistic-user.pdf.
Smyth, Barry, et. al., “A Live-User Evaluation of Collaborative Web Search,” Jul. 22, 2005, University College Dublin, Ireland, pp. 1-6, http://ijcai.org/papers/0680.pdf.
Mobasher, Bamshad, et. al., “Automatic Personalization Based on Web Usage Mining,” Oct. 10, 2003, DePaul University, Chicago, IL and University of Minnesota, Minneapolis, MN, pp. 1-24, http://cybermetrics.cindoc/csic/es/cybermetrics/pdf/251.pdf.
Glance, Natalie S., “Community Search Assistant,” Jan. 2001, Xerox Research Centre Europe, pp. 91-96, http://www.iuiconf.org/01pdf/2001-001-0015.pdf.
Anyanwu et a., SemRank: Ranking Complex Relationship Search Results on the Semantic Web, Copyright © 2005, IW3C2, 11 pages.
Chekuri et al., Web Search Using Automatic Classification, 6th World Wide Web Conference, Copyright © 1997, 11 pages.
Leouski et al., An Evaluation of Techniques for Clustering Search Results, Space & Naval Warfare Systems Center Report, Sponsors: NSF/LOC/DOC (EEC-9209623) and NRaD (Contract No. N66001-94-D-6054), Copyright © 2005, pp. i and 1-19.
Chen et al., “WebSail: From On-line Learning to Web Search,” Web Information Systems Engineering, 2000, Proceedings of the First International Conference on Hong Kong, China, Jun. 19-21, 2000, 9 pages.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Automated analysis of user search behavior does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Automated analysis of user search behavior, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automated analysis of user search behavior will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4260066

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.