An empirical study of query expansion and cluster-based retrieval in language modeling approach |
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| Authors: | Seung-Hoon Na In-Su Kang Ji-Eun Roh Jong-Hyeok Lee |
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| Institution: | Division of Electrical and Computer Engineering, POSTECH (Pohang University of Science and Technology), San 31, Hyojadong, Namgu, Pohang 790-784, Republic of Korea |
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| Abstract: | The term mismatch problem in information retrieval is a critical problem, and several techniques have been developed, such as query expansion, cluster-based retrieval and dimensionality reduction to resolve this issue. Of these techniques, this paper performs an empirical study on query expansion and cluster-based retrieval. We examine the effect of using parsimony in query expansion and the effect of clustering algorithms in cluster-based retrieval. In addition, query expansion and cluster-based retrieval are compared, and their combinations are evaluated in terms of retrieval performance by performing experimentations on seven test collections of NTCIR and TREC. |
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| Keywords: | Parsimonious translation model Query expansion Cluster-based retrieval Information retrieval Language model |
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