HQE: A hybrid method for query expansion

Authors:
Lixin Han;Guihai Chen
Affiliations:
College of Computer and Information Engineering, Hohai University, Nanjing, China and State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China and Department of Mathem ...;State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

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.