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浏览/检索结果: 共117条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation 期刊论文  OAI收割 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 9, 页码: 9154-9167 作者:  Zhang, Jinghao;  Zhu, Yanqiao;  Liu, Qiang;  Zhang, Mengqi;  Wu, Shu   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/11/17 Multimedia recommendation  graph structure learning  contrastive learning   Multi-level News Recommendation via Modeling Candidate Interactions 会议论文  OAI收割 Online Conference, Mar. 4-6, 2022 作者:  Sun, Ying;  Kong, Qingchao;  Mao, Wenji;  Tang, Shaoqiang   |  收藏  |  浏览/下载：12/0  |  提交时间：2022/06/17 news recommendation  candidate news interaction  multi-level prediction  user modeling   CF-DAML: Distributed automated machine learning based on collaborative filtering 期刊论文  OAI收割 APPLIED INTELLIGENCE, 2022, 页码: 1-25 作者:  Liu PJ(刘朋杰);  Pan FC(潘福成);  Zhou XF(周晓锋);  Li S(李帅);  Jin L(金樑)   |  收藏  |  浏览/下载：59/0  |  提交时间：2022/04/14 Automated machine learning  Collaborative filtering  Weighted l(1)-norm  Distributed automated system  Multilayer selective stacked ensemble   A Novel Attention-based Global and Local Information Fusion Neural Network for Group Recommendation 期刊论文  OAI收割 Machine Intelligence Research, 2022, 卷号: 19, 页码: 331-346 作者:  Song Zhang   |  收藏  |  浏览/下载：19/0  |  提交时间：2022/07/29 Group recommendation  attentive neural network (ANN)  global information  local information  recommender system   Mining Latent Structures for Multimedia Recommendation 会议论文  OAI收割 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：27/0  |  提交时间：2022/04/07 Knowledge Graph enhanced Neural Collaborative Filtering with Residual Recurrent Network 期刊论文  OAI收割 NEUROCOMPUTING, 2021, 卷号: 454, 页码: 417-429 作者:  Sang, Lei;  Xu, Min;  Qian, Shengsheng;  Wu, Xindong   |  收藏  |  浏览/下载：33/0  |  提交时间：2021/08/15 Recommendation system  Knowledge Graph  Relational Path Embedding  Neural Collaborative Filtering  Residual Recurrent Network   Web Objectionable Video Recognition Based on Deep Multi-Instance Learning With Representative Prototypes Selection 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 3, 页码: 1222-1233 作者:  Ding, Xinmiao;  Li, Bing;  Li, Yangxi;  Guo, Wen;  Liu, Yao   |  收藏  |  浏览/下载：41/0  |  提交时间：2021/04/27 Feature extraction  Prototypes  Visualization  Support vector machines  Machine learning  Streaming media  Spectrogram  Representative prototype selection  objectionable video recognition  deep learning   Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIG DATA, 2021, 卷号: 7, 期号: 1, 页码: 227-240 作者:  Luo, Xin   |  收藏  |  浏览/下载：11/0  |  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   Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence 期刊论文  OAI收割 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：19/0  |  提交时间：2021/12/01 Crowd intelligence  Explainable recommendation  Hierarchical attention  Review representation  Recommender system   Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms 期刊论文  OAI收割 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：18/0  |  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