摘要
发现用户对网站的兴趣是Web挖掘的一个重要研究方向.根据用户的访问序列进行聚类分析,把用户归为不同的簇,可以给不同簇的用户提供个性化的服务,改善网站的组织结构,提高广告的投放效果.
User interest mining is a focus in web mining research. In this study, fuzzy cluste- ring is conducted based on browse sequence mining. Users are classified as different clusters and personalized service can be provided for the users of the various clusters. As a result, the organizational structure of webs and ads release effect can be improved.
出处
《西安文理学院学报（自然科学版）》
2013年第3期53-56,共4页
Journal of Xi’an University(Natural Science Edition)
基金
云南省教育厅科研基金项目(2011C122)
