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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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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
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浏览/下载:189/0
  |  
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:8/0
  |  
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
Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems
期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 2, 页码: 795-808
作者:
Xie, Hong
;
Zhong, Mingze
;
Shi, Xiaoyu
;
Zhang, Xiaoying
;
Zhong, Jiang
;
Shang, Mingsheng
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/04/07
Online rating system
assimilate-contrast effects
rating prediction
recommendation
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
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  |  
浏览/下载:182/0
  |  
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
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
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  |  
浏览/下载:72/0
  |  
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
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 3, 页码: 533-546
作者:
Wu, Hao
;
Luo, Xin
;
Zhou, MengChu
;
Rawa, Muhyaddin J.
;
Sedraoui, Khaled
;
Albeshri, Aiiad
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  |  
浏览/下载:55/0
  |  
提交时间:2022/08/22
Big data
high dimensional and incomplete (HDI) tensor
latent factorization-of-tensors (LFT)
machine learning
missing data
optimization
proportional-integral-derivative (PID) controller
Stability and stabilization of a class of switched stochastic systems with saturation control
期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 卷号: 64, 期号: 12, 页码: 13
作者:
Guo, Yingxin
;
Ge, Shuzhi Sam
;
Fu, Jianting
;
Xu, Chao
收藏
  |  
浏览/下载:258/0
  |  
提交时间:2021/12/28
switched stochastic systems
matric theory
Gronwall inequality
stability
A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model
期刊论文
NEUROCOMPUTING, 2021, 卷号: 427, 页码: 29-39
作者:
Li, Jinli
;
Yuan, Ye
;
Ruan, Tao
;
Chen, Jia
;
Luo, Xin
收藏
  |  
浏览/下载:95/0
  |  
提交时间:2021/03/17
Big data
Stochastic gradient descent
Proportional integral derivation
PID controller
High-dimensional and sparse matrix
Latent factor analysis
Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 2, 页码: 916-926
作者:
Luo, Xin
;
Wang, Dexian
;
Zhou, MengChu
;
Yuan, Huaqiang
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  |  
浏览/下载:68/0
  |  
提交时间:2021/03/17
Big data
bi-linear
collaborative filtering (CF)
high-dimensional and sparse (HiDS) matrix
industry
latent factor (LF) analysis
missing data
recommender system
Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411
作者:
Luo, Xin
;
Qin, Wen
;
Dong, Ani
;
Sedraoui, Khaled
;
Zhou, MengChu
收藏
  |  
浏览/下载:106/0
  |  
提交时间:2021/03/17
Big data
industrial application
industrial data
latent factor analysis
machine learning
parallel algorithm
recommender system (RS)
stochastic gradient descent (SGD)