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Slučování dat a evoluční optimalizace dotazu pro sofistikované vyhledávání
Húsek, Dušan ; Keyhanipour, A. ; Krömer, P. ; Moshiri, B. ; Owais, S. ; Snášel, V.
An innovative meta-search engine named WebFusion has been presented. The search system learns the expertness of every particular underlying search engine in a certain category based on the users' preferences according to an analysis of click-through behavior. In addition, an intelligent reranking method based on ordered weighted averaging (OWA) was introduced. The re-ranking method was used to fuse the results' scores of the underlying search engines. Independently, a progressive application of evolutionary computing to optimize Boolean search queries in crisp and fuzzy information retrieval systems was investigated, evaluated in laboratory environment and presented. In this paper we describe proposed incorporation of these two innovative recent methods founding an advanced Internet search application.

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