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Study on Wap Self-adapt based on Web Usage Mining

机译:基于Web使用挖掘的WAP自适应研究

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摘要

Smart terminal equipments, such as mobile phone, PDA etc., develop quickly at present. At the same time, there is huge information with various formats in the society, such as image, text, table ect. How to obtain information with Wap (Wireless Application Protocol) is an emergency problem nowadays. In allusion to this issue, a study on Wap self-adapt based on web usage logs is proposed in the paper. Under the background of the application of data mining on the web, the user interest algorithm and the Wap page rebuild algorithm with retrieval and mining of user's usage logs data are put forward., user personalize data sharing in the Wap pages is implemented combining with the relevant user content interest algorithm.
机译:智能终端设备,如手机,PDA等,目前快速发展。与此同时,社会中有各种格式的巨大信息,如图像,文本,表Ect。如何获取WAP(无线应用程序协议)的信息是如今的紧急情况。在暗示此问题的情况下,提出了基于Web使用日志的WAP自适应研究。在Web上的数据挖掘的应用程序的背景下,提出了用户兴趣算法和WAP页面重建算法与用户的使用日志数据的检索和挖掘。,使用WAP页面中的用户个性化数据共享的组合相关用户内容兴趣算法。

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