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中文摘要：
获取可靠的Web访问会话数据是Web使用挖掘（WUM）的重要前提，而很多时候这种数据不容易得到。据此，采用数学建模的方法，设计并实现了一个Web日志仿真器（SSPM．Session Simulator based on PageRank and Markov）。SSPM用Markov链过程模拟用户访问过程，将用户Web访问过程抽象为Markov链，以PagcRank算法计算页面重要度，并以此计算Markov初始状态和转移矩阵，获取用户仿真日志。还介绍了SSPM的验证方法。
英文摘要：
Reliable Web access sessions are crucial to WUM. Guidcd by mathematic modding metliod,abstracts user Web access process as a Markov chain,and designs a Web access session simulator named SSPM. FageRank is calculated by PageRank algorithm, then with the PageRank, Markov initial state and ambelant Matrix also can be obtained. Since user Web access process is simulated by Markov chain, SSPM can easily acquire simulated Web access sessions. How to validate the simulated Web access sessions is also specified.
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