In this paper, we report our experiments in the mixed query task of the Web track for TREC 2004. We deal with the problem of ranking Web documents within a mul- ticriteria framework and propose a novel approach for infor- mation retrieval. We focus on the design of a set of crite- ria aiming at capturing complementary aspects of relevance. Moreover, we provide aggregation procedures that are based on decision rules, to get the ranking of relevant documents.
['Mohamed Farah', 'Daniel Vanderpooten']
Novel Approaches in Text Information Retrieval: Experiments in the Web Track of TREC 2004