Normalized Web Distance Based Web Query Classification
In the context of the World Wide Web, the user information need is usually translated into queries which are submitted to the search engine. The search engine processes the queries and returns a ranked list of documents which it finds as being appropriate to the query. Spink et al. (2001) showed that the rate of query modification was as high as 44.6%, thereby indicating the dissatisfaction of the user with the results returned. The purpose of this paper is to augment the search result by predicting the right category to which the query falls under.