基于用户浏览行为分析的用户兴趣获取

从用户的浏览行为可以反映用户的兴趣出发,分析了用户的浏览行为与兴趣之间的关系,提出了五种用户最小浏览行为组合,并在此基础上对其中三种行为进行转化,得到影响用户兴趣的关键的两种行为,并给出这两种行为与用户兴趣度之间的定量关系。结合对网页内容的挖掘,获取用户的兴趣。通过实验对文中的研究结果进行验证,实验结果证明,所采用的方法是合理和有效的,分析出的用户兴趣基本上可以正确反映用户的实际兴趣。

Extracting User Interests Based On Analysis of User Behaviors

Based on the users' browsing behaviors can reflect users' interests.Analyses relations of users' browsing behaviors and interests.A minimum combination of five browsing behaviors is proposed,based on that,transforms three behaviors of this five,two pivotal behaviors influence users' interests are summarized.Combine with that,quantitative relations of this two behaviors and user interest degree is proposed.Combined with web page mining,users' interests are extracted.Verifying the researching results,experiments results prove that,the researching method is reasonable and effective.Users' interests analyzed can reflect users' real interests.