基于Web使用挖掘的Wap自适应研究

2008 ISECS International Colloquium on Computing, Communication, Control, and Management Pub Date : 2008-08-03 DOI:10.1109/CCCM.2008.210

X. Shixiong, Yuan Guan, Zhang Lei, Deng Zhiwen, X. Jingyan

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引用次数: 4

摘要

智能终端设备，如手机、PDA等，目前发展迅速。同时，社会上存在着各种格式的海量信息，如图像、文字、表格等。如何利用无线应用协议(WAP)获取信息是当今社会亟待解决的问题。针对这一问题，本文提出了基于Web使用日志的WAP自适应研究。在数据挖掘技术在Web上的应用背景下，提出了用户兴趣算法和基于用户使用日志数据检索挖掘的WAP页面重构算法。，结合相关用户内容兴趣算法，实现WAP页面中用户个性化数据共享。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Study on Wap Self-Adapt Based on Web Usage Mining

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 etc. 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 userpsilas usage logs data are put forward., user personalize data sharing in the WAP pages is implemented combining with the relevant user content interest algorithm.

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来源期刊

2008 ISECS International Colloquium on Computing, Communication, Control, and Management

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