Hybrid Recommendation Algorithm of Item Cold-start in Collaborative Filtering System
Yanhong Guo, Guishi Deng · Jisuanji gongcheng · 2008
To address the problem of item cold-start in collaborative filtering systems,this paper advances a new method that using content based prediction before collaborative filtering to get the predictive ratings of items for users.It points out two fine grained parameters to guarantee the accuracy of the predictions.After the content based filtering,collaborative filtering algorithm is used to generate predictions for users.Experimental results show that the method is superior than traditional collaborative filtering algorithm in the coverage which indicates that the item cold-start problem is alleviated.