Fuzziness as a Model of User Preference in Semantic Web Search
نویسندگان
چکیده
Web 2.0 is based on personalized access to imprecise 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 preferential search. Second we provide several fuzzy measures to evaluate experimental results of our system. Keywords— web search, fuzzy logic, fuzzy systems, user preference
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تاریخ انتشار 2009