ENSM-SE at CLEF 2005: Uses of Fuzzy Proximity Matching Function
نویسندگان
چکیده
Based on the idea that the closer the query terms in a document are, the more relevant this document is, we propose a information retrieval method based on a fuzzy proximity degree of term occurences to compute document relevance to a query. Our model is able to deal with Boolean queries, but contrary to the traditional extensions of the basic Boolean information retrieval model, it does not explicitly use a proximity operator. A single parameter allows to control the proximity degree required. We explain how we construct the queries and we report the results of the experiments of the CLEF 2005 campaign before the conclusion.
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