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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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(本次检索基于用户作品认领结果)
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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
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
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  |  
浏览/下载:12/0
  |  
提交时间:2023/12/25
Terms-Deep learning
differential evolution
grid search
hyperparameter tuning
online services
recommender systems
A noise-suppressing discrete-time neural dynamics model for solving time-dependent multi-linear M-tensor equation q
期刊论文
NEUROCOMPUTING, 2023, 卷号: 520, 页码: 240-249
作者:
Liu, Mei
;
Wu, Huanmei
;
Shang, Mingsheng
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  |  
浏览/下载:54/0
  |  
提交时间:2023/02/07
Multi -linear M -tensor equation
Time dependence
Noise -suppressing discrete -time neural
dynamics (NSDTND)
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:
Yuan, Ye
;
Luo, Xin
;
Shang, Mingsheng
;
Wang, Zidong
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  |  
浏览/下载:66/0
  |  
提交时间:2022/08/22
Quality of service
Data models
Kalman filters
Estimation
Computational modeling
Web services
Heuristic algorithms
Alternating least squares (ALSs)
computational intelligence
data science
dynamic latent factor analysis (LFA)
dynamics
intelligent computing
Kalman filter
temporal pattern
Web service
MCFL: multi-label contrastive focal loss for deep imbalanced pedestrian attribute recognition
期刊论文
NEURAL COMPUTING & APPLICATIONS, 2022, 页码: 15
作者:
Chen, Lin
;
Song, Jingkuan
;
Zhang, Xuerui
;
Shang, Mingsheng
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  |  
浏览/下载:98/0
  |  
提交时间:2022/08/22
Pedestrian attribute recognition
Multi-label contrastive loss
Deep convolutional neural network
Multi-label learning
Imbalanced learning
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 Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 2, 页码: 793-805
作者:
Wu, Di
;
He, Qiang
;
Luo, Xin
;
Shang, Mingsheng
;
He, Yi
;
Wang, Guoyin
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  |  
浏览/下载:50/0
  |  
提交时间:2022/08/22
Web service
quality-of-service
latent factor analysis
posterior-neighborhood
regularization
cloud computing
big data
Random Forest-Based Ensemble Estimator for Concrete Compressive Strength Prediction via AdaBoost Method
会议论文
15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019, Kunming, China, July 20, 2019 - July 22, 2019
作者:
Lv, Yuanxin
;
Shi, Xiaoyu
;
Ran, Longyu
;
Shang, Mingsheng
收藏
  |  
浏览/下载:397/0
  |  
提交时间:2020/02/18
A Deep Self-learning Classification Framework for Incomplete Medical Patents with Multi-label
会议论文
15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019, Kunming, China, July 20, 2019 - July 22, 2019
作者:
Luo, Mengzhen
;
Shi, Xiaoyu
;
Ji, Qianqian
;
Shang, Mingsheng
;
He, Xianbo
;
Tao, Weiguo
收藏
  |  
浏览/下载:396/0
  |  
提交时间:2020/02/18
DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 60186-60198
作者:
Wang, Qingxian
;
Peng, Binbin
;
Shi, Xiaoyu
;
Shang, Tianqi
;
Shang, Mingsheng
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浏览/下载:144/0
  |  
提交时间:2019/06/24
Recommender systems
collaborative filtering
rating prediction
denoising autoencoders
multi layered perceptron