ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha. ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems. In Satinder P. Singh, Shaul Markovitch, editors, Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. pages 1403-1409, AAAI Press, 2017. [doi]

This author has not been identified. Look up 'Dongsheng Li' in GoogleThis author has not been identified. Look up 'Chao Chen' in GoogleThis author has not been identified. Look up 'Qin Lv' in GoogleThis author has not been identified. Look up 'Li Shang' in GoogleThis author has not been identified. Look up 'Stephen M. Chu' in GoogleThis author has not been identified. Look up 'Hongyuan Zha' in Google

runs on WebDSL