Enhancing query reformulation by combinig content and hypertext analyses

Anis Benammar
2004 European Conference on Information Systems  
Information retrieval techniques play a critical role in the development of the information systems. Different searches have focused on the way of improving the retrieval effectiveness. Query expansion via relevance feedback is a good technique that proved to be a good way to improve the retrieval performance. In this paper, we investigate new methods to improve the query reformulation process. A two step process is employed to reformulate query. In a preliminary step, a local set of documents
more » ... s built from the retrieved result. In a second step, a co-occurrence analysis is performed on the local document set to deduce the terms to be used for the query expansion. To build the local set we use firstly a content-based analysis. It is a similarity study between the retrieved documents and the query. The second method combines content and hypertext analyses to achieve the local set construction. The TREC 1 frame is used to evaluate the proposed processes.
dblp:conf/ecis/Benammar04 fatcat:2jdecjlluzdm7p6pob7rnddvcq