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http://dx.doi.org/10.3745/KIPSTB.2004.11B.4.471

Dynamic Web Recommendation Method Using Hybrid SOM  

Yoon, Kyung-Bae (김포대학 컴퓨터계열)
Park, Chang-Hee (연세대학교 대학원 전자공학)
Publication Information
The KIPS Transactions:PartB / v.11B, no.4, 2004 , pp. 471-476 More about this Journal
Abstract
Recently, provides information which is most necessary to the user the research against the web information recommendation system for the Internet shopping mall is actively being advanced. the back which it will drive in the object. In that Dynamic Web Recommendation Method Using SOM (Self-Organizing Feature Maps) has the advantages of speedy execution and simplicity but has the weak points such as the lack of explanation on models and fired weight values for each node of the output layer on the established model. The method proposed in this study solves the lack of explanation using the Bayesian reasoning method. It does not give fixed weight values for each node of the output layer. Instead, the distribution includes weight using Hybrid SOM. This study designs and implements Dynamic Web Recommendation Method Using Hybrid SOM. The result of the existing Web Information recommendation methods has proved that this study's method is an excellent solution.
Keywords
Hybrid; Neural Networks; SOM(Self-Organizing Feature Maps); Recoomendation; Clurstering;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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