Information Retrieval on the Web: Improving Relevancy by Disambiguating User Queries

S.K. Dwivedi (India)


Information retrieval, Search engine, Word sense disambiguation,


In this paper we present a system to improve the performance of web search engines. The system uses a sense disambiguation algorithm which is based on contextual ranking to improve the user queries. We tested the system using Google index and found that the relevancy of retrieved results is improved. The top ten results retrieved after the disambiguation process, show more relevancy than the Google

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