JSAI2018

Presentation information

Oral presentation

General Session » [General Session] 5. Web Intelligence

[1C1] [General Session] 5. Web Intelligence

Tue. Jun 5, 2018 1:20 PM - 2:40 PM Room C (4F Orchid)

座長:黄 宏軒(理化学研究所革新知能統合研究センター)

2:00 PM - 2:20 PM

[1C1-03] Recommender System using Image Shape Feature for CNN

〇Yufeng Duan1, Ryosuke Saga1 (1. Osaka Prefecture University)

Keywords:Recommender System, Deep learning, Collaborative Filtering

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).