ABSTRACT
In this paper we suggest a method that, given a query presented to a search engine, proposes a list of concerned
queries. The concerned queries are founded in antecedently published queries, and can be published by the user to
the search engine to tune or redirect the search process. The method proposed is based on a query clustering
procedure in which groups of semantically like queries are named. The clustering procedure uses the content of
historical preferences of users registered in the query log of the search engine. The method not only discloses the
related queries, but also ranks them agreeing to a relevance criterion. Finally, we show with experiments over the
query log of a search engine the potency of the method.
Keywords: - Clustering, search engine.