A Network-Based Multi-Dimensional Recommendation Algorithm
Xiang Yun Xiong, Yu Fu, Zhao Qing Liu · Advanced materials research · 2013
Personalized recommendation based on bipartite network has attracted more and more attention. Its obviously better than CF (Collaborative Filtering). In this paper, we propose a multi-dimensional recommendation algorithm called BNPM. It combines item-based, user-based and category-based recommendation model to improve recommendation quality. The experimental results show that the algorithm can improve the diversity and reduce the popularity on the base of holding the accuracy of the recommendation