Dynamic Web Recommendation Method Using Hybrid SOM 


Vol. 11,  No. 4, pp. 471-476, Aug.  2004
10.3745/KIPSTB.2004.11.4.471


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  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 fixed 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.

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[IEEE Style]

K. B. Yoon and C. H. Park, "Dynamic Web Recommendation Method Using Hybrid SOM," The KIPS Transactions:PartB , vol. 11, no. 4, pp. 471-476, 2004. DOI: 10.3745/KIPSTB.2004.11.4.471.

[ACM Style]

Kyung Bae Yoon and Chang Hee Park. 2004. Dynamic Web Recommendation Method Using Hybrid SOM. The KIPS Transactions:PartB , 11, 4, (2004), 471-476. DOI: 10.3745/KIPSTB.2004.11.4.471.

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