An effective approach for semantic-based clustering and topic-based ranking of web documents

Abstract

In this large, dynamic and expandable web, extracting desired information of any user query is a significant problem for the search engine. Clustering and Ranking are two important resources which can shed light in this direction. To achieve this potential clustering-ranking mechanism, this study proposes a combined approach of semantic-based clustering and… (More)
DOI: 10.1007/s41060-018-0112-3

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