基于隐马尔可夫模型的Web用户访问序列挖掘

摘要

Web挖掘的一个研究方向是发现用户对网页的兴趣。用户的浏览网页意味着用户对该网页上的某种概念感兴趣。文中提出基于隐马尔可夫模型，对用户访问网页的序列进行分析，发现用户感兴趣的概念，然后把蕴含用户感兴趣概念程度最大的网页推荐给用户。这种模式实质上是一种Web服务设计，给用户提供个性化的优质服务，提高网站的服务质量。%Mining the interest of the users is an important research direction in web mining. A user accesses a web site with some intentions means that he is interest in some conceptions. In this paper, we present a new method for mining browse sequence based on the Hidden Markov model in order to discover users’ interest, and then recommend the new pages with max interest to the user. This is essentially a Web service design, to provide personalized service and improve the service quality of website.