HQE: A hybrid method for query expansion

Query expansion methods have been extensively studied in information retrieval. This paper proposes a query expansion method. The HQE method employs a combination of ontology-based collaborative filtering and neural networks to improve query expansion. In the HQE method, ontology-based collaborative...

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Bibliographic Details
Published in:Expert systems with applications 2009-05, Vol.36 (4), p.7985-7991
Main Authors: Han, Lixin, Chen, Guihai
Format: Article
Language:English
Subjects:
Collaborative filtering
Data mining
Information retrieval
Optimization
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Summary:Query expansion methods have been extensively studied in information retrieval. This paper proposes a query expansion method. The HQE method employs a combination of ontology-based collaborative filtering and neural networks to improve query expansion. In the HQE method, ontology-based collaborative filtering is used to analyze semantic relationships in order to find the similar users, and the radial basis function (RBF) networks are used to acquire the most relevant web documents and their corresponding terms from these similar users’ queries. The method can improve the precision and only requires users to provide less query information at the beginning than traditional collaborative filtering methods.
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2008.10.060