Abstract
The traditional search engine have shortcoming that they retrieve irrelevant information. Query expansion
with relevant words increases the performance of search engines, but finding and using the relevant words
is an open problem. This paper presents a Hindi search engine in which we describe three models for
query enhancement. They are based on lexical variance, user context and combination of both techniques.
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