The Japanese Society for Artificial Intelligence

PMF (Probabilistic Matrix Factorization) is a well-known approach of recommending systems. It has achieved wide use and excellent performance not only in research but also in industry. In recent years, this algorithm has been combined with some side information, and the accuracy of recommendation has been improved. In this paper, we propose a novel probabilistic model using image shape features that integrates convolutional neural network (CNN) into probabilistic matrix factorization (PMF).