Page Ranking Refinement Using Fuzzy Sets and Logic.
Andrew J. Laughlin, Joshua Olson, Donny Simpson, Atsushi Inoue · 2011
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 or-der 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.