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2009
IEEE

Automated Web Site Evaluation - An Approach Based on Ranking SVM

12 years 8 months ago
Automated Web Site Evaluation - An Approach Based on Ranking SVM
This paper proposes an automated web site evaluation approach using machine learning to cope with ranking problems. Evaluating web sites is a significant task for web service because evaluated web sites provide useful information for users to estimate sites’ validation and popularity. Although many practical approaches have been taken to present a measuring stick for web sites, their evaluation functions are set up manually. Thus, we develop a method to obtain evaluation function using Ranking SVM and automatically rank web sites with the learned classifier. Also we conducted experiments and confirmed the effectiveness of our approach and its potential in performing high quality web site evaluation.
Peng Li, Seiji Yamada
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where IAT
Authors Peng Li, Seiji Yamada
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