Analyzing a query log for use in managing category-specific...

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

Reexamination Certificate

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C707S948000, C705S026100

Reexamination Certificate

active

08073867

ABSTRACT:
Providing category-specific electronic content includes receiving a request for electronic content. The request has an attribute. The attribute of the received request is compared to an attribute related to a query included in a log of search queries. An indication of a category that represents a search query from a log of search queries that is related to an attribute that matches the attribute of the received request is accessed, and electronic content that is representative of the identified category is accessed and provided.

REFERENCES:
patent: 5265065 (1993-11-01), Turtle
patent: 5640553 (1997-06-01), Schultz
patent: 5675788 (1997-10-01), Husick et al.
patent: 5873076 (1999-02-01), Barr et al.
patent: 5924090 (1999-07-01), Krellenstein
patent: 5933822 (1999-08-01), Braden-Harder et al.
patent: 6012053 (2000-01-01), Pant et al.
patent: 6169986 (2001-01-01), Bowman et al.
patent: 6175829 (2001-01-01), Li et al.
patent: 6272507 (2001-08-01), Pirolli et al.
patent: 6275820 (2001-08-01), Navin-Chandra et al.
patent: 6311194 (2001-10-01), Sheth et al.
patent: 6321228 (2001-11-01), Crandall et al.
patent: 6363378 (2002-03-01), Conklin et al.
patent: 6424973 (2002-07-01), Baclawski
patent: 6460029 (2002-10-01), Fries et al.
patent: 6502091 (2002-12-01), Chundi et al.
patent: 6571249 (2003-05-01), Garrecht
patent: 6647383 (2003-11-01), August et al.
patent: 6675159 (2004-01-01), Lin et al.
patent: 6701310 (2004-03-01), Sugiura et al.
patent: 6728704 (2004-04-01), Mao et al.
patent: 6751611 (2004-06-01), Krupin et al.
patent: 6778979 (2004-08-01), Grefenstette et al.
patent: 6778982 (2004-08-01), Knight
patent: 6795820 (2004-09-01), Barnett
patent: 6853982 (2005-02-01), Smith et al.
patent: 6961723 (2005-11-01), Faybishenko et al.
patent: 7110983 (2006-09-01), Shear et al.
patent: 7181438 (2007-02-01), Szabo
patent: 2001/0049688 (2001-12-01), Fratkina et al.
patent: 2002/0026443 (2002-02-01), Chang
patent: 2002/0129015 (2002-09-01), Caudill et al.
patent: 2002/0152199 (2002-10-01), Teng et al.
patent: 2002/0165860 (2002-11-01), Glover et al.
patent: 2002/0169764 (2002-11-01), Kincaid et al.
patent: 2003/0004939 (2003-01-01), Yamaguchi et al.
patent: 2003/0212673 (2003-11-01), Kadayam et al.
patent: 2003/0220913 (2003-11-01), Doganata et al.
patent: 2004/0010491 (2004-01-01), Riedinger
patent: 2004/0019588 (2004-01-01), Doganata et al.
patent: 2004/0024752 (2004-02-01), Manber et al.
patent: 2004/0059729 (2004-03-01), Krupin et al.
patent: 2004/0215607 (2004-10-01), Travis, Jr.
patent: 2004/0220907 (2004-11-01), Camarillo
patent: 2004/0254920 (2004-12-01), Brill et al.
patent: 2005/0102259 (2005-05-01), Kapur
patent: 2005/0154716 (2005-07-01), Watson et al.
patent: 2006/0020672 (2006-01-01), Shannon et al.
patent: 2006/0167927 (2006-07-01), Edelstein et al.
patent: 2006/0248045 (2006-11-01), Toledano et al.
patent: 1060449 (2000-12-01), None
patent: WO 97/21183 (1997-06-01), None
patent: WO 99/66427 (1997-12-01), None
patent: WO 01/16807 (2001-03-01), None
patent: WO 02/13064 (2002-02-01), None
patent: WO 2004/027669 (2004-04-01), None
Kahn, “Ontology-based Information Selection,” a dissertation presented to the Faculty of the Graduate School University of Southern California, Aug. 2002, 128 pp.
Si et al., “Using Sampled Data and Regression to Merge Search Engine Results,” School of Computer Science, Carnegie Mellon Univ., Pittsburgh, PA, Aug. 11-15, 2002, 8 pp.
“Distributed Information Retrieval in Lemur,” printed Oct. 17, 2005 from http:/
ewhaven.Iti.cs.cmu.edu/3.1/distrib.html, The Lemur Project, last modified Mar. 23, 2005, 7 pp.
Beitzel et al., “On Fusion of Effective Retrieval Strategies in the Same Information Retrieval System,” Information Retrieval Lab, Illinois Inst. Tech., Jul. 2004, 13 pp.
Beitzel et al., “Evaluation of Filtering Current News Search Results,” Information Retrieval Lab, Illinois Inst. Tech., Chicago, IL, Jul. 25-29, 2004, 2 pp.
Chowdhury et al., “Operational Requirements for Scalable Search Systems,” America Online, Nov. 3-8, 2003, 8 pp.
Rasolofo et al., “Result Merging Strategies for a Current News Metasearcher,” Information Processing & Management 39 (2003), Elsevier, Barking GB, pp. 581-609.
Oztekin et al., “Expert Agreement and Content Based Reranking in a Meta Search Environment Using Mearf,” Pro. 11th Int. Conf. on WWW, May 7-11, 2002, Honolulu, HI, p. 333-334.
Craswell et al. “Merging Results from Isolated Search Engines,” Proceedings of the 10th Australasian Database Conference, Aukland, New Zealand, Jan. 18-21, 1999, 12 pages.
Meng et al. “Building Efficient and Effective Metasearch Engines,” ACM Computing Surveys, vol. 34, No. 1, Mar. 2002, New York, NY, pp. 48-89.
Spoerri, “Coordinated Views and Tight Coupling to Support Mega Searching,” Prcdgs 2nd Intl Conf on Coordinated & Multiple Views in Exploratory Visualization, 2004, pp. 39-48.
Baeza-Yates et al., “Modern Information Retrieval, Chapter 13, Searching the web,” Modern Information Retrieval, Harlow: Addison-Wesley, GB, 1999, pp. 367-395.
Wang et al., “An Application Specific Knowledge Engine for Researches in Intelligent Trans. Systems,” 2004 IEEE Intelligent Trans Sys Conf, DC, Oct. 3-6, 2004, pp. 841-846.
Etzioni, “Moving Up the Information Food Chain, Deploying Sofbots on the World Wide Web,” Prcdgs on the 13th Ntnl Conf on Artificial Intelligence, Aug. 4, 1996, pp. 1322-1326.
Zhang et al. “Meta-Search-Engine Feature Analysis,” Online Information Review, vol. 27, No. 6, 2003, pp. 433-441.
Desai et al., “An Approach to Document Clustering Based on System Relevance,” Proceedings of the 67th ASIS&T, vol. 41, No. 1, Nov. 12, 2004, pp. 256-266.
Jain, et al., “Data Clustering: A Review,” ACM Computing Surveys, New York, NY, vol. 31, No. 3, Sep. 3, 1999, pp. 264-323.
Gauch et al., “ProFusion: Intelligent Fusion from Multiple, Distributed Search Engines,” Journal of Universal Computer Science, vol. 2, No. 9, Sep. 1996, 13 pgs.
Office Action from U.S. Appl. No. 11/023,651, dated Apr. 30, 2007.
Office Action from U.S. Appl. No. 11/023,633, dated Apr. 18, 2007.
Office Action from U.S. Appl. No. 11/023,642, dated May 11, 2007.
Notice of Allowance from U.S. Appl. No. 11/023,648, dated May 16, 2007.
Office Action from U.S. Appl. No. 11/023,643, dated Apr. 2, 2007.

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