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中国科学院重庆绿色智能技术研究院机构知识库
KMS Chongqing Institute of Green and Intelligent Technology, CAS
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浏览/检索结果:
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Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2024, 卷号: 17, 期号: 3, 页码: 1029-1043
作者:
Shi, Xiaoyu
;
Liu, Quanliang
;
Xie, Hong
;
Bai, Yanan
;
Shang, Mingsheng
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/08/16
Entropy
Recommender systems
Training
Feedback loop
Training data
Robustness
Real-time systems
Long-term fairness
maximum entropy policy
popularity bias
recommender system
reinforcement learning
web services
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach
期刊论文
ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2024, 卷号: 42, 期号: 2, 页码: 30
作者:
Shi, Xiaoyu
;
Liu, Quanliang
;
Xie, Hong
;
Wu, Di
;
Peng, Bo
;
Shang, Mingsheng
;
Lian, Defu
收藏
  |  
浏览/下载:197/0
  |  
提交时间:2024/04/07
Interactive recommendation
popularity bias
item fairness
reinfor cement learning
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 1, 页码: 92-107
作者:
Qin, Wen
;
Luo, Xin
;
Zhou, Mengchu
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  |  
浏览/下载:13/0
  |  
提交时间:2024/05/06
Parallel algorithm
industrial application
latent feature analysis
high-dimensional and incomplete data
stochastic gradient descent
parallelization shared-memory
data science
Neighbor importance-aware graph collaborative filtering for item recommendation
期刊论文
NEUROCOMPUTING, 2023, 卷号: 549, 页码: 12
作者:
Wang, Qingxian
;
Wu, Suqiang
;
Bai, Yanan
;
Liu, Quanliang
;
Shi, Xiaoyu
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  |  
浏览/下载:20/0
  |  
提交时间:2023/12/25
Graph neural networks
Recommender system
Node importance
Collaborative filtering
Representation learning
Hyperparameter Learning for Deep Learning-Based Recommender Systems
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 卷号: 16, 期号: 4, 页码: 2699-2712
作者:
Wu, Di
;
Sun, Bo
;
Shang, Mingsheng
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/12/25
Terms-Deep learning
differential evolution
grid search
hyperparameter tuning
online services
recommender systems
A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 15
作者:
Li, Jinli
;
Luo, Xin
;
Yuan, Ye
;
Gao, Shangce
收藏
  |  
浏览/下载:191/0
  |  
提交时间:2023/12/25
High-dimensional and incomplete data
latent factor analysis
stochastic gradient descent
nonlinear proportional integral derivation
particle swarm optimization
parameter adaptation
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 5, 页码: 2809-2823
作者:
Luo, Xin
;
Zhou, Yue
;
Liu, Zhigang
;
Hu, Lun
;
Zhou, MengChu
收藏
  |  
浏览/下载:94/0
  |  
提交时间:2022/12/26
Computational modeling
Acceleration
Sparse matrices
Adaptation models
Training
Data models
Convergence
Services computing
service application
big data
latent factor analysis
non-negative latent factor model
high-dimensional and sparse matrix
recommender system
missing data
Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 2, 页码: 420-431
作者:
Shi, Xiaoyu
;
He, Qiang
;
Luo, Xin
;
Bai, Yanan
;
Shang, Mingsheng
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2022/08/22
Recommender systems
Training
Optimization
Big Data
Cloud computing
Computational modeling
Sparse matrices
Recommender system
latent factor analysis
high-dimensional and sparse matrices
alternative stochastic gradient descent
distributed computing
Non-Negative Latent Factor Model Based on beta-Divergence for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 8, 页码: 4612-4623
作者:
Xin, Luo
;
Yuan, Ye
;
Zhou, MengChu
;
Liu, Zhigang
;
Shang, Mingsheng
收藏
  |  
浏览/下载:137/0
  |  
提交时间:2021/08/20
beta-divergence
big data
high-dimensional and sparse (HiDS) matrix
industrial application
learning algorithm
non-negative latent factor (NLF) analysis
recommender system
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 7, 页码: 4285-4296
作者:
Wu, Di
;
Luo, Xin
;
Shang, Mingsheng
;
He, Yi
;
Wang, Guoyin
;
Zhou, MengChu
收藏
  |  
浏览/下载:213/0
  |  
提交时间:2021/08/20
Big data
deep model
high-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
recommender system (RS)