Research on E-Commerce Recommender System Based on Content-Based Filtering
HE Wei-hong · Computer Technology and Development · 2009
The application of personalized recommendation in the Internet effectively improved its service,especially the service of E-commerce.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(VSM) 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 improved comprehensively.According to the experiments result,the overall performance of the recommender based on content-based filtering was enhanced with time.