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Meta-Search Utilizing Evolitionary Recommendation: A Web Search Architecture Proposal
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SYSNO ASEP 0310595 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Meta-Search Utilizing Evolitionary Recommendation: A Web Search Architecture Proposal Title Meta vyhledávání používající evoluční doporučování : Návrh webové architektury Author(s) Húsek, Dušan (UIVT-O) RID, SAI, ORCID
Keyhanipour, A. (IR)
Krömer, P. (CZ)
Moshiri, B. (IR)
Owais, S. (CZ)
Snášel, V. (CZ)Source Title Research in Computing Science - ISSN 1870-4069
Roč. 33, - (2008), s. 189-200Number of pages 12 s. Language eng - English Country MX - Mexico Keywords web search ; meta-search engine ; intelligent re-ranking ; ordered weighted averaging ; Boolean search queries optimizing Subject RIV IN - Informatics, Computer Science CEZ AV0Z10300504 - UIVT-O (2005-2011) Annotation 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 re-ranking 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 propose an incorporation of these two innovative recent methods founding an advanced Internet search application. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2009
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