Slope One Recommendation Algorithm Through Combining Integrated Diffusion on Tripartite Graph

The Slope One algorithm does not consider the recommended level between items when predict ratings, so the accuracy and diversity are not high. Therefore, a Slope One algorithm through combining integrated diffusion on tripartite graph is proposed. The idea is to add the genre nodes into the tripartite graph, and calculate the Slope One prediction ratings with the recommended level that calculated by the tripartite graph integrated diffusion algorithm. Since the diffusion through user nodes and item nodes, and the recommended level between the items is asymmetric, so it is better to reflect the user interest. The proposed method was tested by 5-fold cross-validation with four metrics, and the experiments on the MovieLens show that our approach achieves great improvement of prediction accuracy and diversity.