Fuzziness as a Model of User Preference in Semantic Web Search
Veronika Vaneková, Peter Vojtáš · European Society for Fuzzy Logic and Technology Conference · 2009
Web 2.0 is based on personalized access to impre- cise and incomplete information from heterogeneous sources. In this paper we present a web-based system enabling preference-based search. We use modified Fagin's model of fuzzy preferences based on aggregation of attribute preferences. Aggregation is generated by user ranking of objects. Our contributions are twofold. First we present a formal model and implementation suitable for efficient pref- erential search. Second we provide several fuzzy measures to evalu- ate experimental results of our system.