An E-Commerce Recommender System Based on Content-Based Filtering  

作　　者：HE Weihong CAO Yi 

机构地区：[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

出　　处：《Wuhan University Journal of Natural Sciences》2006年第5期1091-1096,共6页武汉大学学报（自然科学英文版）

基　　金：Supported bythe Hunan Teaching Reformand Re-search Project of Colleges and Universities (2003-B72) ;the HunanBoard of Review on Philosophic and Social Scientific Pay-off Project(0406035) ;the Hunan Soft Science Research Project(04ZH6005)

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.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：E-COMMERCE recommender system personalized recommendation content-based filtering Vector Spatial Model（VSM） 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]