Merging Multiple Search Results Approach - Mohamed, Khaled
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Meta Search Engines are finding tools developed for enhancing the search performance by submitting user queries to multiple search engines and combining the search results in a unified ranked list. They utilized data fusion technique, which requires three major steps: databases selection, results combination, and results merging.This study tries to build a framework that can be used for merging the search results retrieved from any set of search engines

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Produktbeschreibung
Meta Search Engines are finding tools developed for enhancing the search performance by submitting user queries to multiple search engines and combining the search results in a unified ranked list. They utilized data fusion technique, which requires three major steps: databases selection, results combination, and results merging.This study tries to build a framework that can be used for merging the search results retrieved from any set of search engines
Autorenporträt
Khaled A Mohamed is an Associate professor and the director of the Egyptian Universities' Libraries Consortium (EULC) since 2006. In the capacity, he is extensively involved in digital libraries developement.He has PhD from university of Pittsburgh, school of information science and published many papers in international journals.