中国科学院重庆绿色智能技术研究院机构知识库

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已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序作者升序作者降序题名升序题名降序WOS被引频次升序WOS被引频次降序发表日期升序发表日期降序提交时间升序提交时间降序
	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：188/0  |  提交时间：2024/04/07 Interactive recommendation  popularity bias  item fairness  reinfor cement learning
	Robust and efficient algorithms for conversational contextual bandit 期刊论文 INFORMATION SCIENCES, 2024, 卷号: 657, 页码: 17 作者:  Gu, Haoran;  Xia, Yunni;  Xie, Hong;  Shi, Xiaoyu;  Shang, Mingsheng 收藏  |  浏览/下载：10/0  |  提交时间：2024/02/23 Conversational contextual bandit  Imbalanced conversation feedback  Upper confidence bound  Regret analysis
	An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis 期刊论文 Journal of Big Data, 2022, 卷号: 9, 期号: 1 作者:  Li,Qing;  Pang,Guansong;  Shang,Mingsheng 收藏  |  浏览/下载：49/0  |  提交时间：2022/08/22 Big data analysis  Latent factor analysis  Simulated annealing  Differential evolution algorithm  Multi-parameter adaptive
	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 收藏  |  浏览/下载：97/0  |  提交时间：2022/08/22 Pedestrian attribute recognition  Multi-label contrastive loss  Deep convolutional neural network  Multi-label learning  Imbalanced learning
	A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices 期刊论文 IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794 作者:  Yuan, Ye;  He, Qiang;  Luo, Xin;  Shang, Mingsheng 收藏  |  浏览/下载：75/0  |  提交时间：2022/08/22 Computational modeling  Sparse matrices  Big Data  Data models  Stochastic processes  Training  Software algorithms  Big data  latent factor analysis  generally multilayered structure  deep forest  multilayered extreme learning machine  randomized-learning  high-dimensional and sparse matrix  stochastic gradient descent  randomized model
	Adjusted stochastic gradient descent for latent factor analysis 期刊论文 INFORMATION SCIENCES, 2022, 卷号: 588, 页码: 196-213 作者:  Li, Qing;  Xiong, Diwen;  Shang, Mingsheng 收藏  |  浏览/下载：48/0  |  提交时间：2022/08/22 Big data analysis  High-dimensional and incomplete matrix  Stochastic gradient descent  Latent factor analysis  Gradient adjustment  Adaptive model  Particle swarm optimization  Local optima
	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
	An alpha -beta -Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13 作者:  Shang, Mingsheng;  Yuan, Ye;  Luo, Xin;  Zhou, MengChu 收藏  |  浏览/下载：53/0  |  提交时间：2022/08/22 Computational modeling  Sparse matrices  Convergence  Data models  Predictive models  Linear programming  Euclidean distance  -divergence  big data  convergence analysis  high-dimensional and sparse (HiDS) data  momentum  machine learning  missing data estimation  non-negative latent factor analysis (NLFA)  recommender system (RS)
	A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 1, 页码: 610-620 作者:  Luo, Xin;  Liu, Zhigang;  Li, Shuai;  Shang, Mingsheng;  Wang, Zidong 收藏  |  浏览/下载：100/0  |  提交时间：2021/03/17 Big data  high-dimensional and sparse (HiDS) matrix  latent factor (LF) analysis  missing data estimation  non-negative LF (NLF) model  recommender system
	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：143/0  |  提交时间：2019/06/24 Recommender systems  collaborative filtering  rating prediction  denoising autoencoders  multi layered perceptron