Application and research of collaborative filtering in e-commerce recommendation system

in this paper, through the study of the existing collaborative filtering technologies and the e-commerce recommendation system concepts, architecture and the main recommendation technology and development, an improved collaborative filtering algorithm is designed and implemented. This algorithm can solve the scalability problem general collaborative filtering algorithms can not solve to some extent, thus the recommendation quality can be greatly improved.