Collaborative Filtering Recommendation Algorithm Based on Neighbor Decision-making
Chen Yuan-fei · Jisuanji gongcheng · 2010
Collaborative filtering has been applied in personalized recommendation system successfully,sparsity problem and scalability problem become two big problems which remain unresolved.To slove the problem of traditional method,this paper propose a decision-making method relying on the number of neighbors.The method compares the number of user’s neighbors and item’s neighbors in every unpredicted position,and chooses the bigger one to make predicting.In addition,a reasonable and effective measurement is put forward to judge predicting.Experimental result shows that the quality of recommendation is largely improved.