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