Dynamic Query Expansion for Efficient Information Retrieval

Abstract

Words inter-relationships have always been center for Information Retrieval. Researchers have successfully used query expansion to help a user in his search need. Global Analysis and Local Analysis are popularly used query expansion methods for this purpose. This paper presents a comparative study of query expansion with dynamic document analysis and thesaurus based analysis. Precision of the results retrieved for the initial query increases with the addition of varying number of words to the query term. Using the dynamic document analysis relevance increases successively when number of words added goes up to four.