Techniques for web site integration

Data processing: database and file management or data structures – Database design – Data structure types

Reexamination Certificate

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C707S793000

Reexamination Certificate

active

06912525

ABSTRACT:
Disclosed is a method and device for finding documents, such as Web pages, for presentation to a user, automatically or in response to a user expression of interest, which documents are part of a Web site being accessed by the user, and which documents relate to a document, such as a Web page, being accessed in the Web site. The method takes advantage of information retrieval techniques. The method generates the search query to use to find documents by reference to the text of the document in the Web site being accessed by the user. The method further uses a weighting function to weigh the terms used in the search query.

REFERENCES:
patent: 5832476 (1998-11-01), Tada et al.
patent: 5870740 (1999-02-01), Rose et al.
patent: 5924105 (1999-07-01), Punch et al.
patent: 5933822 (1999-08-01), Braden-Harder et al.
patent: 6009459 (1999-12-01), Belfiore et al.
patent: 6101537 (2000-08-01), Edelstein et al.
patent: 6148289 (2000-11-01), Virdy
patent: 6269361 (2001-07-01), Davis et al.
patent: 6338059 (2002-01-01), Fields et al.
patent: 6353822 (2002-03-01), Lieberman
patent: 6353825 (2002-03-01), Ponte
patent: 6393427 (2002-05-01), Vu et al.
patent: 6415250 (2002-07-01), van den Akker
patent: 6631496 (2003-10-01), Li et al.
Walsh, B and Lynch, M,; “Long-term Response: Finite Populations”; Dec. 10, 1998; Draft Version; pp291-345.
Rocchio, J.J., Jr., “Relevance Feedback in Information Retrieval”,The Smart Retrieval System—Experiments in Automatic Document Processing, Prentice Hall, Inc., N.J., 1971, pp. 313-323.
Larkey, Leah S., “Combining Classifiers in Text Categorization”, Center for Intelligent Information Retrieval, Department of Computer Science, University of Massachusetts, Amherst, MA., pp 1-10, Mar. 20, 1996.
Haines, David et al., “Relevance Feedback and Inference Networks”, University of Massachusetts. pp 1-5, Aug. 22, 1994.
“Introduction to TCP/IP”, Yale University, Feb. 2, 1995, Internet Article., pp 1-6.
Wong, Clinton, “Chapter 6. Example LWP Programs”,Web Client Programming with Perl, O'Reilly & Associates, Mar. 1997, pp 117-141.
Callan, James P. et al., “The INQUERY Retrieval System”,Proceedings of the Third International Conference on Database and Expert Systems Application, pp. 78-83, Springer Verlag, 1992.
Aronow, D.B., et al., “Automated Classification of Encounter Notes in a Computer Based Medical Record”,Proceedings of the Eighth World Congress on Medical Informatics, Vancouver, Canada. Jul., 1995. pp. 8-12.
Lewis, D.D., et al., “Training Algorithms for Linear Text Classifiers”,Proceedings of the Nineteenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Zurich, Switzerland. 1996. pp. 198-315.
Salton, Gerard, and Chris Buckley, “Improving Retrieval Performance by Relevance Feedback”,Journal of the American Society for Information Science, Jun., 1990. pp. 288-297.
Sullivan, Danny, “How Search Engines Work”, Internet Article on SearchEngineWatch.com, 1999.
Sullivan, Danny, “How Search Engines Rank Web Pages”, Internet Article on SearchEngineWatch.com, 1999.
Barlow, Linda, “A Helpful Guide to Web Search Engines”, Internet Article on www.monash.com, Aug., 1999.
Barlow, Linda, “How to Use Web Search Engines”, Internet Article on www.monash.com, Aug., 1999.

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