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Searching the Web with Queries

descriptionPublicationkeyboard_double_arrow_right Article 01 Aug 1999Publisher:Springer Science and Business Media LLCJournal:Knowledge and Information Systems, volume 1, pages 369-375 (issn: 0219-1377, eissn: 0219-3116,

Authors: Zhixiang Chen; Xiannong Meng; Richard H. Fowler;

doi: 10.1007/bf03325104

Searching the Web with Queries

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Abstract

In this paper we study the problem of searching the Web with online learning algorithms. We consider that Web documents can be represented by vectors of n boolean attributes. A search engine is viewed as a learner, and a user is viewed as a teacher. We investigate the number of queries a search engine needs from the user to search for a collection of Web documents. We design several efficient learning algorithms to search for any collection of documents represented by a disjunction (or a conjunction) of relevant attributes with the help of membership queries or equivalence queries.

Related Organizations

University of Texas–Pan American
United States

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