【摘要】 该文面向移动门户网站设计实现了一个日志数据统计与挖掘系统,给出了实时的访问用户日志数据与获取的用户群体的网络行为数据的关联机制,实现了定性描述该机制的终端发售事件捕捉功能,建立了用户群体点击预制入口转化率提取模型,用以描述关联效率和价值,并得到了用户群体访问行为的分布。研究工作将为相关运营商提供有益的参考。更多还原

【Abstract】 A data statistics and mining system is designed and realized based on the log data for a mobile web portal. The correlation mechanism between the real-time accessing log data and the available network behaviors data of user group is achieved. It is realized to qualitatively describe the mechanism using the trapping function of the sale affairs of the mobile terminal. The model of conversion rate extracted from the preset entrances clicking is built up to describe the correlation efficiency and values. The behaviors distributions of the accessing users are obtained. The above work will provide a valuable reference for relative operators.更多还原