An E-commerce recommender system based on content-based filtering
HE Wei-hong, Yi Cao · Wuhan University Journal of Natural Sciences · 2006
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.