Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2008-05-27
2008-05-27
Vital, Pierre (Department: 2169)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000, C707S793000, C707S793000, C707S793000, C707S793000, C707S793000
Reexamination Certificate
active
07379949
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. Caching electronic content includes receiving electronic content for inclusion in a cache, the electronic content having an attribute and identifying a category to which the electronic content corresponds An indication of a category that represents a query from a log of search queries that is related to an attribute that matches the attribute of the electronic content is accessed. The electronic content is included in a cache when the identified category matches the indicated category.
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: 6363378 (2002-03-01), Conklin et al.
patent: 6424973 (2002-07-01), Baclawski
patent: 6460029 (2002-10-01), Fries 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: 2002/0165860 (2002-11-01), Glover et al.
patent: 2002/0169764 (2002-11-01), Kineaid 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 (1999-12-01), 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
Latifur R. Khan, “Ontology-based Information Selection,” a dissertation presented to the Faculty of the Graduate School University of Southern California, Aug. 2000, 128 pages.
Luo Si et al., “Using Sampled Data and Regression to Merge Search Engine Results,” School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, Aug. 11-15, 2002, 8 pages.
“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 pages.
Steven M. Beitzel et al., “On Fusion of Effective Retrieval Strategies in the Same Information Retrieval System,” Information Retrieval Laboratory, Illinois Institute of Technology, Chicago, IL 60616, Jul. 2004, 13 pages.
Steven M. Beitzel et al., “Evaluation of Filtering Current News Search Results,” Information Retrieval Laboratory, Illinois Institute of Technology, Chicago, IL 60616, Jul. 25-29, 2004, 2 pages.
Abdur Chowdhury et al., “Operational Requirements for Scalable Search Systems,” America Online, Nov. 3-8, 2003, 8 pages.
Office Action from copending U.S. Appl. No. 11/023,651, dated Apr. 30, 2007.
Office Action from copending U.S. Appl. No. 11/023,633, dated Apr. 18, 2007.
Office Action from copending U.S. Appl. No. 11/023,642, dated May 11, 2007.
Notice of Allowance from copending U.S. Appl. No. 11/023,648, dated May 16, 2007.
Office Action from copending U.S. Appl. No. 11/023,643, dated Apr. 2, 2007.
Rasolofo Y. et al., “Result Merging Strategies For A Current News Metasearcher,” Information Processing & Management 39 (2003), Elsevier, Barking GB, pp. 581-609.
Oztekin B.U. and Karyis, G. and Kumat, Y., “Expert Agreement And Content Based Reranking In A Meta Search Environment Using Mearf,” Proceedings of the 11thInternational Conference on World Wide Web. May 7-11, 2002, Honolulu, Hawaii, pp. 333-344.
Craswell, N., Hawking, D. and Thistlewaite, P., “Merging Results from Isolated Search Engines,” Proceedings of the 10thAustralasian Database Conference, Aukland, New Zealand, Jan. 18-21, 1999, 12 pages.
Meng, W. et al. “Building Efficient and Effective Metasearch Engines,” ACM Computing Surveys, vol. 34, No. 1, Mar. 2002, New York, NY, pp. 48-89.
Spoerri A., “Coordinated Views And Tight Coupling To Support Mega Searching,” Proceedings of the Second International Conference on Coordinated and Multiple Views in Exploratory Visualization, 2004, pp. 39-48.
Baeza-Yates, R. et al., “Modern Information Retrieval, Chapter 13, Searching the web,” Modern Information Retrieval, Harlow: Addison-Wesley, GB, 1999, pp. 367-395.
Fei-Yue Wang et al., “An Application Specific Knowledge Engine For Researches In Intelligent Transportation Systems,” 2004 IEEE Intelligent Transportation Systems Conference, Washington, DC, Oct. 3-6, 2004, pp. 841-846.
Etzioni, O., “Moving Up the Information Food Chain, Deploying Sofbots on the World Wide Web,” Proceedings on the Thirteenth National Conference on Artificial Intelligence, Aug. 4, 1996, pp. 1322-1326.
Zhang, J. and Cheung, C. “Meta-Search-Engine Feature Analysis,” Online Information Review, vol. 27, No. 6, 2003, pp. 433-441.
Desai, M. and Spink, A., “An Approach to Document Clustering Based on System Relevance,” Proceedings of the 67th American Society for Information Science and Technology (ASIS&T), vol. 41, No. 1, Nov. 12, 2004, pp. 256-266.
Jain A. K., et al., “Data Clustering: A Review,” ACM Computing Surveys, New York, NY, vol. 31, No. 3, Sep. 3, 1999, pp. 264-323.
Gauch, Susan et al., “Profusion: Intelligent Fusion from Multiple, Distributed Search Engines,” Journal of Universal Computer Science, vol. 2, No. 9 , Sep. 1996, 13 pages.
AOL LLC
Fish & Richardson P.C.
Rostami Mohammad S
Vital Pierre
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