Open AccessApplying Web analysis in Web page filtering
Author(s) -
Chau, M
Publication year - 2004
Language(s) - English
DOI - 10.1109/jcdl.2004.1336155
Subject(s) - neural networks , support vector machines , vertical search engines , web analysis , web page classification , web page filtering , information retrieval , machine learning
A machine-based learning approach that combines web content analysis and web structure analysis was proposed. The approach addressed the issue of filtering out irrelevant documents from a set of relevant documents collected from the web. It was found that the proposed approach is useful for vertical search engine development and other web applications. The results show that the approach can be used for web page filtering by effectively applying web content and link analysis.published_or_final_versio
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