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An E.Commerce Recommender System Based on Content-Based Filtering
作者姓名:HE  Weihong  CAO  Yi
作者单位:[1]Department of Computer Science and Technology,Hunan Institute of Technology, Hengyang 421101, Hunan,China [2]School of Business, Central South University,Changsha 410083, Hunan, China
摘    要:Content-based filtering E-commerce recommender system was discussed fully in this paper. Users' unique features can be explored by means of vector space model firstly. Then based on the qualitative value of products informa tion, the recommender lists were obtained. Since the system can adapt to the users' feedback automatically, its performance were enhanced comprehensively. Finally the evaluation of the system and the experimental results were presented.

关 键 词:电子商务  委任系统  滤波算法  支持向量机  VSM
文章编号:1007-1202(2006)05-1091-06
收稿时间:2006-02-10

An E-commerce recommender system based on content-based filtering
HE Weihong CAO Yi.An E.Commerce Recommender System Based on Content-Based Filtering[J].Wuhan University Journal of Natural Sciences,2006,11(5):1091-1096.
Authors:He Weihong  Cao Yi
Institution:(1) Department of Computer Science and Technology, Hunan Institute of Technology, 421101 Hengyang, Hunan, China;(2) School of Business, Central South University, 410083 Changsha, Hunan, China
Abstract:Content-based filtering E-commerce recommender system was discussed fully in this paper. Users' unique features can be explored by means of vector space model firstly. Then based on the qualitative value of products information, the recommender lists were obtained. Since the system can adapt to the users' feedback automatically, its performance were enhanced comprehensively. Finally the evaluation of the system and the experimental results were presented. Foundation item: Supported by the Hunan Teaching Reform and Research Project of Colleges and Universities (2003-B72), the Hunan Board of Review on Philosophic and Social Scientific Pay-off Project (0406035), and the Hunan Soft Science Research Project (04ZH6005) Biography: HE Weihong (1970-), male, Associate professor, research direction: network database and data mining.
Keywords:E-commerce  recommender system  personalized recommendation  content-based filtering  Vector Spatial Model(VSM)
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