关键词: 个性化推荐, 电子商务, 偏好挖掘, 贝叶斯网, 特征匹配

Abstract: Nowadays, Recommendation system is a hot point in the research area of information services. After analyzing the advantages and disadvantages of various algorithms and the main problems of the current recommended technology, this paper puts forward a real-time recommendation method based on user’s browsing preferences mining. Experiments indicate that this method can provide personal recommendations more accurately and efficiently.

Key words: Recommendation System, E-Commerce, Preferences Mining, Bayesian Networks, Feature Matching