Local Co-occurrence Based Query Expansion for Information Retrieval

Techniques for automatic query expansion have been extensively studied in information retrieval research as a solution to the word mismatch problem between queries and documents.Using the idea of Local Context Analysis,in this paper we proposed a novel expansion method,called LOCOOC,which utilized the local co-occurrence information in top-ranked documents and the global statistical information in the whole collection to select most appropriate expansion terms.Experimental results show that LOCOOC offers more effective and robust retrieval performances,compared with local feedback based or LCA based expansion method.