The traditional collaborative filtering algorithm has some problems of data sparsity and recommendation range.For these problems,this paper proposes a hybrid collaborative filtering recommendation method.The algorithm not only combines two traditional algorithms,but also comprehensively considers the item label attribute information.Firstly,the item-based collaborative filtering algorithm is used to generate aprediction score and replace the zero value in the original user-item rating matrix. Secondly,the user-based collaborative filtering algorithm is used to calculate the user similarity of ...
