Optimized collaborative filtering recommendation algorithm based on item rating prediction
Guo Xian-li · Jisuanji yingyong yanjiu · 2008
By analyzing the inaccuracy of item similarity and new item recommendation in present collaborative filtering algorithm based on item rating prediction under data sparsity condition,this paper proposed an optimized collaborative filtering recommendation algorithm based on item rating prediction.This algorithm considered for user rating and item attribute item similarity calculation.The experiment shows that the optimized algorithm makes the similarity between items more accurate and solves the problem of new item recommendation effectively.The algorithm reduces the negative effect on the final recommendation and can provide better recommendation results for the system.