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Relevance Feedback Based Query Expansion Model Using Borda Count and Semantic Similarity Approach
2015
Computational Intelligence and Neuroscience
Pseudo-Relevance Feedback (PRF) is a well-known method of query expansion for improving the performance of information retrieval systems. All the terms of PRF documents are not important for expanding the user query. Therefore selection of proper expansion term is very important for improving system performance. Individual query expansion terms selection methods have been widely investigated for improving its performance. Every individual expansion term selection method has its own weaknesses
doi:10.1155/2015/568197
pmid:26770189
pmcid:PMC4685438
fatcat:7hktrqueabh3rnf6hzowpb6goy