基于无侵犯模式的用户挖掘方法

Web User Profiling Based on Non-violative Model

提出了用于保护用户信息安全的无侵犯模式原则,并应用“双标识”策略实现了用户信息的重用;建立了用户网络行为的Markov模型,设计了模型的实现算法模型中定义了用户行为的状态转移概率矩阵以及平均等待时间,自动学习用户行为模式将该方法应用于实验网站上。

This paper proposes a new non-violation based user profiling method. The non-violative strategy is presented to protect the personal privacy and “double identifier' method is used to realize the reuse of profiles. The Markov user model is constructed to understand the ~user's behavior automatically. Some parameters in the model, such as transition probability matrix and mean holding time matrix are defined to describe the characters of web user dynamically. The approach is implemented in a sample site to help the design and performance evaluation of the website. The test result is satisfactory.