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About Term Ranking Methods in Relevance Feedback |
Song Lingli Cheng Ying |
(Department of Information Management, Nanjing University, Nanjing 210093, China) |
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Abstract One common method for query expansion is relevance feedback, and much research work has been done to it. Relevance feedback focuses two aspects: term reweighting and term selection. In this paper, the authors elaborate a few classical term ranking methods, and compare them in retrieval performance. At last, they discuss the problems in implementing relevance feedback.
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Received: 17 March 2004
Published: 25 August 2004
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Corresponding Authors:
Song Lingli
E-mail: lingli_song@163.com
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About author:: Song Lingli,Cheng Ying |
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