Sciweavers

Share
IAT
2008
IEEE

An Enhanced Similarity Measure for Utilizing Site Structure in Web Personalization Systems

12 years 8 months ago
An Enhanced Similarity Measure for Utilizing Site Structure in Web Personalization Systems
The need for recommendation systems to ease user navigations has become evident by growth of information on the Web. There exist many approaches of learning for Web usage-based recommendation systems. In hybrid recommendation systems, other knowledge resources, like content, semantics, and hyperlink structure of the Web site, have been utilized to enhance usage-based personalization systems. In this study, we introduce a new structure-based similarity measure for user sessions. We also apply two clustering algorithms on this similarity measure to compare it to cosine and another structure-based similarity measures. Our experiments exhibit that adding structure information, leveraging the proposed similarity measure, enhances the quality of recommendations in both methods.
Shaghayegh Sahebi, Farhad Oroumchian, Ramtin Khosr
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where IAT
Authors Shaghayegh Sahebi, Farhad Oroumchian, Ramtin Khosravi
Comments (0)
books