Correlation Coefficient Based Average Textual Similarity Modelfor Information Retrieval System in Wide Area Networks
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 1
Abstract
Abstract: In wide area networks, retrieving the relevant text is a challenging task for information retrievalbecause most of the information requests are text based. The focus of paper is on the similarity measurement,performance evaluation and design of information retrieval techniques using the four similarity functions i.e.Jaccard, Cosine, Dice and Overlap. The performance evaluation of these similarity functions has been done forthe similarity between the documents retrieved by the search engine for the entered text using the vector spacemodel. The correlation coefficient was applied for evaluating the performance of similarity functions. All thepossible combination of similarity functions have been explored and textual similarity model has been proposedfor the information retrieval system in wide area networks.
Authors and Affiliations
Jaswinder Singh , Parvinder Singh , Yogesh Chaba
Keywords
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