Web knowledge and Wordnet based Automatic Web Query Classification

search queries are the starting point to access the contents in the WWW for most of the users. Capturing the user intent behind a query statement is crucial for any search engine and is equivalent to figuring out the category to which the query belongs to. In this paper, we analyze a classification system that uses web directory search results as an extended feature of the query. A comparison with glossary based mapping showed that our work outperforms it by a reasonable margin. We also show by experimentation that choosing the right parameter for the search results gives a reasonable improvement in ranking.