Meta-Search Utilizing Evolutionary Recommendation: A Web Search Architecture Proposal 

1st International Workshop on Intelligent Web Based Tools

Dusan Husek ; Amir Keyhanipour ; Behzad Moshiri ; Suhail S. J. Owais ; Václav Snásel ; Pavel Krömer

Others  :  http://CEUR-WS.org/Vol-302/paper4.pdf
PID  :  21790

来源: CEUR

【 摘 要 】

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 innivative recent methods founding an advanced Internet search application.