Information retrieval on the web: improving relevancy by disambiguating user queries

Authors:
Sanjay Kumar Dwivedi
Affiliations:
Banasthali Vidyapith (Deemed University), Department of Computer Science & Electronics, Banasthali Vidyapith, Rajasthan, India
Venue:
ACST'06 Proceedings of the 2nd IASTED international conference on Advances in computer science and technology
Year:
2006

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Abstract

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