Personalized Information Retrieval system in the Framework of Fuzzy Logic

Due to increase in web-based applications, the need for enhanced information retrieval system that accommodate user’s needs become crucial. Most of commercial information retrieval system are based on standard Boolean model and at less scale vector models. Although the deficiencies of these models are now part of text-book knowledge, the development of new models still have to overcome the feasibility and testing challenge. This paper advocates a fuzzy based approach for information retrieval where a new model is put forward. Also, its feasibility and performance are demonstrated through a testing with a large-scale university database and whose results are compared to a standard commercial Boolean model.