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Cluster-based query expansion using language modeling in the biomedical domain
Conference proceeding

Cluster-based query expansion using language modeling in the biomedical domain

Xuheng Xu and Xiaohua Hu
2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), pp 185-188
Dec 2010

Abstract

Atmospheric modeling Cluster Computational modeling Informational Retrieval Language Modeling Pseudo-feedback Query Drift Query Expansion Search engines Smoothing methods TREC Bioinformatics Genomics
Several techniques have been developed, such as query expansion, cluster-based retrieval and dimensionality reduction to resolve low search precision and low search recall issues. Of these techniques, this paper proposed cluster-based query expansion using language modeling. Through our experiments in TREC genomic track ad-hoc retrieval task, we explore and demonstrate clusters that are created based on the whole collection or the initially returned document results of the original query can be utilized to perform query expansion and eventually improve the overall effectiveness and performance of information retrieval system in the biomedical domain.

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2 citations in Web of Science
6 citations in Scopus

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