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http://dx.doi.org/10.5391/JKIIS.2003.13.4.433

Dynamic Recommendation System of Web Information Using Ensemble Support Vector Machine and Hybrid SOM  

Yoon, Kyung-Bae (김포대학 컴퓨터계열)
Choi, Jun-Hyeog (김포대학 컴퓨터계열)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.13, no.4, 2003 , pp. 433-438 More about this Journal
Abstract
Recently, some studies of a web-based information recommendation technique which provides users with the most necessary information through websites like a web-based shopping mall have been conducted vigorously. In most cases of web information recommendation techniques which rely on a user profile and a specific feedback from users, they require accurate and diverse profile information of users. However, in reality, it is quite difficult to acquire this related information. This paper is aimed to suggest an information prediction technique for a web information service without depending on the users'specific feedback and profile. To achieve this goal, this study is to design and implement a Dynamic Web Information Prediction System which can recommend the most useful and necessary information to users from a large volume of web data by designing and embodying Ensemble Support Vector Machine and hybrid SOM algorithm and eliminating the scarcity problem of web log data.
Keywords
Web information recommendation system; Hybrid SOM; Ensemble Support Vector Machine;
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