Abstract
To Find user's frequent interest navigation patterns, we combine the information of web content and web server log, mine the web data to build a hidden markov model. In our approach, we build a hidden markov model according to page's content and web service log firstly, and then we present a new incremental discovery algorithm Hmm_R to discover the interest navigation patterns.
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