Automatic User Preferences Acquirement in Chinese Commercial Web Sites with NLP and DM Techniques

Abstract

Data mining are an important field of research. However, there is an important challenge to apply the Data mining technique to NLP applications. An integrated data mining system for NLP in Chinese Commercial Web Sites is presented in this paper. It firstly extracted the raw data using NLP technology and then presented the data mining process in detail to acquire the user preferences. More importantly, it puts forward a new enhanced and integrated method to Acquire User Preferences. Data mining applied to NLP provides a scientific basis for E-Commerce and Decision-making systems.