The Community for Technology Leaders
Semantics, Knowledge and Grid, International Conference on (2005)
Beijing, China
Nov. 27, 2005 to Nov. 29, 2005
ISBN: 0-7695-2534-2
pp: 31
Wen Yue , Hunan University ChangSha, Hunan Province,China
Zhiping Chen , Hunan University ChangSha, Hunan Province,China
Xinguo Lu , Hunan University ChangSha, Hunan Province,China
Feng Lin , Hunan University ChangSha, Hunan Province,China
Juan Liu , Hunan University ChangSha, Hunan Province,China
ABSTRACT
With the rapid development of the Internet and great capacity of online documents, information retrieval has become an active research topic. This paper proposes a novel information retrieval algorithm based on query expansion and classification. The algorithm is induced by the observation that very short queries with the traditional information retrieval methods often have low precision, although they can get high recall. Our approach attempts to catch more relevant documents by query expansion and text classification. The results of the experiments show that the algorithm we proposed is more precise and efficient than the traditional query expansion methods.
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CITATION

J. Liu, W. Yue, F. Lin, X. Lu and Z. Chen, "Using Query Expansion and Classification for Information Retrieval," 2005 First International Conference on Semantics, Knowledge and Grid(SKG), Beijing, 2005, pp. 31.
doi:10.1109/SKG.2005.139
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