Ghali, B.E. and Qadi, A.E. and Ouadou, M. and Aboutajdine, D. (2012) Probabilistic Query Expansion method using recommended past user queries. In: UNSPECIFIED.

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Abstract

A plenty of Query Expansion techniques have been proposed to solve the problems of information retrieval systems, but new challenges has been introduced for these methods of expansion of user queries because of the rapid growth of the size of the Web collection. In this paper we have focused our attention on the improvement of the precision of the user query by a Probabilistic Query Expansion Method. Our approach consists on the use of information contained in query logs, which includes past user queries and their clicked documents, for providing high-level recommendations. The experiment results shows that the precision of the short queries increases even if we add a few terms, but the same number of terms added don't affect the long queries precision as much as for the short queries. © 2012 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Long queries; Probabilistic methods; Query expansion; Query expansion techniques; Query logs; Query recommendations; Rapid growth; User query; Web collections, Information retrieval systems; Innovation, Information retrieval
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:46
URI: http://eprints.umi.ac.ma/id/eprint/2729

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