Point of interest recommendation method based on similarity between items
Ying Jie Xia · Jisuanji yingyong yanjiu · 2012
To solve the problems of traditional similarity measure methods with user rating data sparsity,this paper proposed a novel collaborative filtering algorithm based on item similarity,which combined user rating data with interest degree of items to calculate similarity between two items,so that it could overcome the effect of sparsity of user rating data.The experimental results show that the proposed algorithm can obviously enhance the quality of recommendation system in the case of sparsity of user rating data.