[PDF][PDF] MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering.
Matrix approximation (MA) is one of the most popular techniques for collaborative filtering
(CF). Most existing MA methods train user/item latent factors based on a user-item rating …
(CF). Most existing MA methods train user/item latent factors based on a user-item rating …
MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering
C Chen - recmind.cn
PowerPoint 演示文稿 Page 1 Chao Chen ⨳ , Dongsheng Li 𝔱 , Qin Lv ∗ , JunChi Yan 𝔱𝜍 ,
Stephen M. Chu 𝔱 , Li Shang ∗⨳ ⨳ Tongji University, China 𝔱 IBM Research, China 𝜍 East …
Stephen M. Chu 𝔱 , Li Shang ∗⨳ ⨳ Tongji University, China 𝔱 IBM Research, China 𝜍 East …
[PDF][PDF] MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering
C Chen, D Li, Q Lv, J Yan, SM Chu, L Shang - researchgate.net
Matrix approximation (MA) is one of the most popular techniques for collaborative filtering
(CF). Most existing MA methods train user/item latent factors based on a user-item rating …
(CF). Most existing MA methods train user/item latent factors based on a user-item rating …
MPMA: Mixture probabilistic matrix approximation for collaborative filtering
C Chen, D Li, Q Lv, J Yan, SM Chu… - … Joint Conference on …, 2016 - research.ibm.com
Matrix approximation (MA) is one of the most popular techniques for collaborative filtering
(CF). Most existing MA methods train user/item latent factors based on a user-item rating …
(CF). Most existing MA methods train user/item latent factors based on a user-item rating …
[PDF][PDF] MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering
C Chen, D Li, Q Lv, J Yan, SM Chu, L Shang - ijcai.org
Matrix approximation (MA) is one of the most popular techniques for collaborative filtering
(CF). Most existing MA methods train user/item latent factors based on a user-item rating …
(CF). Most existing MA methods train user/item latent factors based on a user-item rating …
MPMA: mixture probabilistic matrix approximation for collaborative filtering
C Chen, D Li, Q Lv, J Yan, SM Chu… - Proceedings of the Twenty …, 2016 - dl.acm.org
Matrix approximation (MA) is one of the most popular techniques for collaborative filtering
(CF). Most existing MA methods train user/item latent factors based on a user-item rating …
(CF). Most existing MA methods train user/item latent factors based on a user-item rating …
[PDF][PDF] MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering
C Chen, D Li, Q Lv, J Yan, SM Chu, L Shang - researchgate.net
Matrix approximation (MA) is one of the most popular techniques for collaborative filtering
(CF). Most existing MA methods train user/item latent factors based on a user-item rating …
(CF). Most existing MA methods train user/item latent factors based on a user-item rating …