TBTF: an effective time-varying bias tensor factorization algorithm for recommender system

2021 ◽  
Author(s):  
Jianli Zhao ◽  
Shangcheng Yang ◽  
Huan Huo ◽  
Qiuxia Sun ◽  
Xijiao Geng
Keyword(s):  
Recommender System ◽  
Time Varying ◽  
Tensor Factorization ◽  
Effective Time ◽  
Factorization Algorithm

scholarly journals Global and Local Tensor Factorization for Multi-criteria Recommender System

Patterns ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 100023
Author(s):  
Shuliang Wang ◽  
Jingting Yang ◽  
Zhengyu Chen ◽  
Hanning Yuan ◽  
Jing Geng ◽  
...  
Keyword(s):  
Recommender System ◽  
Tensor Factorization ◽  
Global And Local

scholarly journals Generalized Discriminant Orthogonal Nonnegative Tensor Factorization for Facial Expression Recognition

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Zhang XiuJun ◽  
Liu Chang
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
Expression Recognition ◽  
Tensor Factorization ◽  
Nonnegative Tensor ◽  
Nonnegative Tensor Factorization ◽  
Factorization Algorithm ◽  
Factorization Algorithms ◽  
Low Dimensional ◽  
Low Dimensional Features

In order to overcome the limitation of traditional nonnegative factorization algorithms, the paper presents a generalized discriminant orthogonal non-negative tensor factorization algorithm. At first, the algorithm takes the orthogonal constraint into account to ensure the nonnegativity of the low-dimensional features. Furthermore, the discriminant constraint is imposed on low-dimensional weights to strengthen the discriminant capability of the low-dimensional features. The experiments on facial expression recognition have demonstrated that the algorithm is superior to other non-negative factorization algorithms.

Topic tensor factorization for recommender system

2016 ◽  
Vol 372 ◽  
pp. 276-293 ◽  
Author(s):  
Xiaolin Zheng ◽  
Weifeng Ding ◽  
Zhen Lin ◽  
Chaochao Chen
Keyword(s):  
Recommender System ◽  
Tensor Factorization
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