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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  |  浏览/下载：189/0  |  提交时间：2024/04/07
Interactive recommendation  popularity bias  item fairness  reinfor cement learning  
Improved Deep Learning Predictions for Chlorophyll Fluorescence Based on Decomposition Algorithms: The Importance of Data Preprocessing 期刊论文
WATER, 2023, 卷号: 15, 期号: 23, 页码: 19
作者:  Wang, Lan;  Xie, Mingjiang;  Pan, Min;  He, Feng;  Yang, Bing;  Gong, Zhigang;  Wu, Xuke;  Shang, Mingsheng;  Shan, Kun
收藏  |  浏览/下载：200/0  |  提交时间：2024/01/17
chlorophyll fluorescence  deep learning  online monitoring  time-series decomposition  Dianchi Lake  
Modeling and Optimization of Sensitivity and Creep for Multi-Component Sensing Materials 期刊论文
NANOMATERIALS, 2023, 卷号: 13, 期号: 2, 页码: 21
作者:  Bi, Gangping;  Xiao, Bowen;  Lin, Yuanchang;  Yan, Shaoqiu;  Tang, Ying;  He, Songxiying;  Shang, Mingsheng;  He, Guotian
收藏  |  浏览/下载：509/0  |  提交时间：2023/04/06
RSM  SVR  NSGA-II  MWCNTs  MLG  Ni  magnetic field  sensitivity  creep  
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：130/0  |  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  
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2021, 卷号: 7, 期号: 1, 页码: 227-240
作者:  Luo, Xin;  Zhou, Mengchu;  Li, Shuai;  Wu, Di;  Liu, Zhigang;  Shang, Mingsheng
收藏  |  浏览/下载：147/0  |  提交时间：2021/05/17
Data models  Training  Sparse matrices  Recommender systems  Computational modeling  Big Data  Scalability  Non-negative latent factor analysis  non-negativity  latent factor analysis  unconstrained optimization  high-dimensional and sparse matrix  collaborative filtering  recommender system  big data  
Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 1844-1855
作者:  Luo, Xin;  Zhou, MengChu;  Li, Shuai;  Hu, Lun;  Shang, Mingsheng
收藏  |  浏览/下载：124/0  |  提交时间：2020/08/24
Computational modeling  Data models  Sparse matrices  Linear programming  Training  Convergence  Analytical models  Alternating-direction-method of multipliers  high-dimensional and sparse matrix  industrial application  non-negative latent factor analysis  recommender system  
Application of Bayesian network including Microcystis morphospecies for microcystin risk assessment in three cyanobacterial bloom-plagued lakes, China 期刊论文
HARMFUL ALGAE, 2019, 卷号: 83, 页码: 14-24
作者:  Shan, Kun;  Shang, Mingsheng;  Zhou, Botian;  Li, Lin;  Wang, Xiaoxiao;  Yang, Hong;  Song, Lirong
收藏  |  浏览/下载：203/0  |  提交时间：2019/12/03
Bayesian network  Cyanobacterial blooms  Microcystis  Eutrophication  Microcystin  Climate warming  Lake Taihu  Lake Chaohu  Lake Dianchi  
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
Adobe PDF(4751Kb)  |  收藏  |  浏览/下载：144/0  |  提交时间：2019/06/24
Recommender systems  collaborative filtering  rating prediction  denoising autoencoders  multi layered perceptron  
SLAs-aware online task scheduling based on deep reinforcement learning method in cloud environment 会议论文
21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019, Zhangjiajie, China, August 10, 2019 - August 12, 2019
作者:  Ran, Longyu;  Shi, Xiaoyu;  Shang, Mingsheng
收藏  |  浏览/下载：155/0  |  提交时间：2020/02/18
Identifying the influential nodes via eigen-centrality from the differences and similarities of structure 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 卷号: 510, 页码: 77-82
作者:  Zhong, Lin-Feng;  Shang, Ming-Sheng;  Chen, Xiao-Long;  Cai, Shi-Ming
Adobe PDF(433Kb)  |  收藏  |  浏览/下载：124/0  |  提交时间：2018/11/01
Complex Network  Influential Node  Eigen-centrality  Sir  Kendall