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CASIA OpenIR
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Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation 期刊论文
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;  Wang, Liang
Adobe PDF(1134Kb)  |  收藏  |  浏览/下载：131/2  |  提交时间：2023/11/17
Multimedia recommendation  graph structure learning  contrastive learning  
Dynamic Graph Neural Networks for Sequential Recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 卷号: 35, 期号: 5, 页码: 4741-4753
作者:  Mengqi Zhang;  Shu Wu;  Xueli Yu;  Qiang Liu;  Liang Wang
Adobe PDF(1269Kb)  |  收藏  |  浏览/下载：163/54  |  提交时间：2023/07/03
A hierarchical contextual attention-based network for sequential recommendation 期刊论文
NEUROCOMPUTING, 2019, 卷号: 358, 页码: 141-149
作者:  Cui, Qiang;  Wu, Shu;  Huang, Yan;  Wang, Liang
浏览  |  Adobe PDF(545Kb)  |  收藏  |  浏览/下载：287/28  |  提交时间：2019/05/09
Sequential recommendation  Recurrent neural network  Short-term interest  Context  Attention mechanism  
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation 期刊论文
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018, 期号: no, 页码: no
作者:  Qiang Cui;  Shu Wu;  Qiang Liu;  Wen Zhong;  Liang Wang
浏览  |  Adobe PDF(979Kb)  |  收藏  |  浏览/下载：286/45  |  提交时间：2019/05/09
Multi-view  Sequential Recommendation  Recurrent Neural Network  Cold Start  
Personalized ranking with pairwise Factorization Machines 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 期号: null, 页码: 191-200
作者:  Guo, Weiyu;  Wu, Shu;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(867Kb)  |  收藏  |  浏览/下载：492/200  |  提交时间：2016/10/24
Personalized Ranking  Adaptive Sampling  Pairwise Learning  
Coupled Topic Model for Collaborative Filtering With User-Generated Content 期刊论文
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2016, 卷号: 46, 期号: 6, 页码: 908-920
作者:  Wu, Shu;  Guo, Weiyu;  Xu, Song;  Huang, Yongzhen;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(997Kb)  |  收藏  |  浏览/下载：524/190  |  提交时间：2016/10/24
Collaborative Filtering (Cf)  Recommender Systems (Rs)  Topic Model  User-generated Content (Ugc)