Applying data miming and NLP techniques to automatically acquire user preferences in Chinese web sites

Shilin Zhang, Shuwu Zhang, Heping Li
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Abstract

Web mining has become an important field of research. However, there is an important challenge to applying the technique to NLP applications. An integrated data mining system for NLP in Chinese Commercial Web Sites is presented in this paper. It presented the data mining process in detail. More importantly, it puts forward a new enhanced method to Acquire User Preferences. Web mining applied to NLP provides a scientific basis for ebusiness and decision-making.
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应用数据挖掘和自然语言处理技术自动获取中文网站用户偏好
Web挖掘已经成为一个重要的研究领域。然而,将该技术应用于NLP应用有一个重要的挑战。提出了一种面向中文商业网站自然语言处理的集成数据挖掘系统。详细介绍了数据挖掘过程。更重要的是,提出了一种新的获取用户偏好的增强方法。Web挖掘在自然语言处理中的应用为电子商务和决策提供了科学依据。
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