Dynamic Web Information Predictive System Using Ensemble Support Vector Machine


The KIPS Transactions:PartB , Vol. 11, No. 4, pp. 465-470, Aug. 2004
10.3745/KIPSTB.2004.11.4.465,   PDF Download:

Abstract

Web Information Predictive Systems have the restriction such as they need users' profiles and visible feedback information for obtaining the necessary information. For overcoming this restrict, this study designed and implemented Dynamic Web Information Predictive System using Ensemble Support Vector Machine to be able to predict the web information and provide the relevant information every user needs most by click stream data and user feedback information, which have some clues based on the data. The result of performance test using Dynamic Web Information Predictive System using Ensemble Support Vector Machine against the existing Web Information Predictive System has proved that this study's method is an excellence solution.


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Cite this article
[IEEE Style]
C. H. Park and K. B. Yoon, "Dynamic Web Information Predictive System Using Ensemble Support Vector Machine," The KIPS Transactions:PartB , vol. 11, no. 4, pp. 465-470, 2004. DOI: 10.3745/KIPSTB.2004.11.4.465.

[ACM Style]
Chang Hee Park and Kyung Bae Yoon. 2004. Dynamic Web Information Predictive System Using Ensemble Support Vector Machine. The KIPS Transactions:PartB , 11, 4, (2004), 465-470. DOI: 10.3745/KIPSTB.2004.11.4.465.