ENSM-SE at CLEF 2006: AdHoc Uses of fuzzy proximity matching function
Résumé
Starting from the idea that the closer the query terms in a doc ument are to each other the more relevant the document, we propose an information re trieval method that uses the degree of fuzzy proximity of key terms in a document to com pute the relevance of the document to the query. Our model handles Boolean queries but, contrary to the traditional extensions of the basic Boolean information re trieval model, does not use a proximity operator explicitly. A single parameter makes i t possible to control the proximity degree required. To improve our system we use a ste mming algorithm before indexing, we take a specific influence function and we merge fu zzy proximity result list built with different spread of influence function. We explain how we construct the queries and report the results of our experiments in the ad-h oc monolingual French task of the CLEF 2006 evaluation campaign.