Journal
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Volume E89D, Issue 6, Pages 1971-1974Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
DOI: 10.1093/ietisy/e89-d.6.1971
Keywords
fuzzy similarity measure; relevance ranking; information retrieval
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A great deal of research has been made to model the vagueness and uncertainty in information retrieval. One such research is fuzzy ranking models, which have been showing their superior performance in handling the uncertainty involved in the retrieval process. However, these conventional fuzzy ranking models have a limited ability to incorporate the user preference when calculating the rank of documents. To address this issue, in this study we develop a new fuzzy ranking model based on the user preference. Through the experiments on the TREC-2 collection of Wall Street Journal documents, we show that the proposed method outperforms the conventional fuzzy ranking models.
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