Personalized Recommendation System Based on Web Log Mining and Weighted Bipartite Graph
Ting Yu, Yan Xia Cao, MU Xiang-wei · 2013
Recently, recommendation systems based on bipartite graph algorithm have been widely applied to many areas including E-business, but the weight of edge is ignored. Therefore, the commodity with high rating has not got the priority to be recommended. In order to solve the problem, we propose a personalized recommendation system based on user's interest. The results of web log mining are introduced to weighted bipartite graph, greatly improving the practicability of the recommendation.