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Web Page Recommendation using a Stochastic Process Model  

Noh, Soo-Ho (Dept. of Computer Science, Kwangwoon University)
Park, Byung-Joon (Dept. of Computer Science, Kwangwoon University)
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Abstract
In the Web environment with a huge amount of information, Web page access patterns for the users visiting certain web site can be diverse and change continually in accordance with the change of its environment. Therefore it is almost impossible to develop and design web sites which fit perfectly for every web user's desire. Adaptive web site was proposed as solution to this problem. In this paper, we will present an effective method that uses a probabilistic model of DTMC(Discrete-Time Markov Chain) for learning user's access patterns and applying these patterns to construct an adaptive web site.
Keywords
웹 마이닝;적응형 웹 사이트;패턴발견;페이지 추천기법;
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