Abstract: In order to improve the quality of the recommended pages，the page recommendation method for access sequential patterns is proposed.Web access sequential patterns are stored via a type of tree structure and the page matching is based on the tree structure.The variable active window technology and the concepts of page selection attention degree and page average visit degree are adopted in this algorithm.Combining page selection attention degree and page average visit degree with the confidence of the rules as page recommendation degree produces the recommendation results.In the end，the feasibility and effectiveness of the recommendation method for access sequential patterns are verified.The experimental results show that the recommendation method can improve the recommendation precision and comprehensive measure.

Key words: sequential pattern, active window, recommendation degree

摘要： 为了提高页面推荐质量，给出面向访问序列模式的页面推荐方法。此方法采用Web访问序列模式结果进行推荐，用树形结构存储挖掘得到的Web访问序列模式，在树形结构的基础上进行页面匹配。采用可变活动窗口技术，并引入页面选择关注度和页面平均访问度概念，将页面选择关注度、页面平均访问度与规则的可信度相结合作为页面推荐度进行推荐。实验验证了面向访问序列模式的页面推荐方法的可行性和有效性，此方法可以有效地提高推荐的准确率，并具有较好的综合测度。

关键词: 序列模式, 活动窗口, 推荐度