A collaborative filtering recommender algorithm based on tripartite network
Miao Jin · Journal of Nanjing University of Information Science & Technology · 2010
Recommender system is one of the most important technologies in E-commerce,and the collaborative filtering algorithm is the most widely used technique in recommender system.In this paper,we proposed a collaborative filtering algorithm based on weighted tripartite network,which takes users,items and tags into account,and we also studied the degree of tags which may affect the user-user similarity computation.The experimental results demonstrate that the algorithm can solve the cold start problem with high recommendation accuracy.