Semantic Clustering of Search Engine Results

This paper presents a novel approach for search engine results clustering that relies on the semantics of the retrieved documents rather than the terms in those documents. The proposed approach takes into consideration both lexical and semantics similarities among documents and applies activation sp...

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Bibliographic Details
Main Authors: Sara Saad Soliman, Maged F. El-Sayed, Yasser F. Hassan
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2015/931258
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