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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.

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Authors and Affiliations

  1. Department of Computer Science, University of Texas-Pan American, 1201 West University Drive, Edinburg, TX, 78539-2999, USA

    Zhixiang Chen, Xiannong Meng & Richard H. Fowler

Authors
  1. Zhixiang Chen
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  2. Xiannong Meng
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  3. Richard H. Fowler
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Corresponding author

Correspondence to Zhixiang Chen.

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Chen, Z., Meng, X. & Fowler, R.H. Searching the Web with Queries. Knowledge and Information Systems 1, 369–375 (1999). https://doi.org/10.1007/BF03325104

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  • DOI: https://doi.org/10.1007/BF03325104

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