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浏览/检索结果: 共14条，第1-10条 帮助 限定条件 发表日期：2021     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名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 Exploring user historical semantic and sentiment preference for microblog sentiment classification 期刊论文 NEUROCOMPUTING, 2021, 卷号: 464, 页码: 141-150 作者:  Zhu, Xiaofei;  Wua, Jie;  Zhu, Ling;  Guo, Jiafeng;  Yu, Ran 收藏  |  浏览/下载：32/0  |  提交时间：2021/12/01 Microblog analysis  Sentiment classification  User historical preference   Mining Latent Structures for Multimedia Recommendation 会议论文 Chengdu, China, 2021.10.20-2021.10.24 作者:  Zhang, Jinghao;  Zhu, Yanqiao;  Liu, Qiang;  Wu, Shu;  Wang, Shuhui 收藏  |  浏览/下载：18/0  |  提交时间：2022/04/07 PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 11 作者:  Jin, Junchen;  Rong, Dingding;  Pang, Yuqi;  Zhu, Fenghua;  Guo, Haifeng 收藏  |  浏览/下载：35/0  |  提交时间：2022/01/27 Engines  Control systems  Urban areas  Process control  Roads  Generators  Spatiotemporal phenomena  Spatial-temporal recommender system  urban traffic control  parallel traffic management  human-in-the-loop system   Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 4, 页码: 796-805 作者:  Wu, Di;  Luo, Xin 收藏  |  浏览/下载：25/0  |  提交时间：2021/05/17 High-dimensional and sparse matrix  L-1-norm  L-2-norm  latent factor model  recommender system  smooth L-1-norm   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 收藏  |  浏览/下载：27/0  |  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   Location-Aware Real-Time Recommender Systems for Brick-and-Mortar Retailers 期刊论文 INFORMS JOURNAL ON COMPUTING, 2021, 页码: 17 作者:  Zeng, Daniel;  Liu, Yong;  Yan, Ping;  Yang, Yanwu 收藏  |  浏览/下载：33/0  |  提交时间：2021/12/28 recommender systems  location-aware recommendation  brick-and-mortar stores   Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 213, 页码: 13 作者:  Yang, Chao;  Zhou, Weixin;  Wang, Zhiyu;  Jiang, Bin;  Li, Dongsheng 收藏  |  浏览/下载：27/0  |  提交时间：2021/12/01 Crowd intelligence  Explainable recommendation  Hierarchical attention  Review representation  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：20/0  |  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)   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 收藏  |  浏览/下载：21/0  |  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   Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems 期刊论文 NEUROCOMPUTING, 2021, 卷号: 421, 页码: 316-328 作者:  Chen, Jiufang;  Yuan, Ye;  Ruan, Tao;  Chen, Jia;  Luo, Xin 收藏  |  浏览/下载：14/0  |  提交时间：2021/02/24 Big Data  Intelligent Computation  Latent Factor Analysis  Evolutionary Computing  Learning Algorithm  High-dimensional and Sparse Data  Parameter Free