Page Ranking Refinement Using Fuzzy Sets and Logic
نویسندگان
چکیده
This paper presents a study on personalized add-on filters applied to web search results in order to make those results more intuitive to users. Fuzzy Sets and Logic are used in order to construct such filters. Linguistic features are extracted as their universe of discourse. Three experimental filters are presented in the following specific contexts: (1) narrowing down results, (2) product specification and (3) tutorial level classification. Their performance is briefly studied mostly in qualitative manners.
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تاریخ انتشار 2011