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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
收藏  |  浏览/下载：92/0  |  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：122/41  |  提交时间：2023/07/03
Personalized graph neural networks with attention mechanism for session-aware recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 卷号: 34, 期号: 8, 页码: 3946-3957
作者:  Mengqi Zhang;  Shu Wu;  Meng Gao;  Xin Jiang;  Ke Xu;  Liang Wang
Adobe PDF(1277Kb)  |  收藏  |  浏览/下载：108/43  |  提交时间：2023/07/03
Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2017, 卷号: 29, 期号: 6, 页码: 1254-1267
作者:  Liu, Qiang;  Wu, Shu;  Wang, Liang
浏览  |  Adobe PDF(990Kb)  |  收藏  |  浏览/下载：294/92  |  提交时间：2018/01/03
Collaborative Filtering  Sequential Prediction  Multi-behavior  Recurrent Log-bilinear  
Contextual Operation for Recommender Systems 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2016, 卷号: 28, 期号: 8, 页码: 2000-2012
作者:  Wu, Shu;  Liu, Qiang;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(996Kb)  |  收藏  |  浏览/下载：374/111  |  提交时间：2016/10/20
Recommender Systems  Context-aware  Contextual Information  Context Representation  Context Operation  
Domain-Sensitive Recommendation with User-Item Subgroup Analysis 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2016, 卷号: 28, 期号: 4, 页码: 939-950
作者:  Liu, Jing;  Jiang, Yu;  Li, Zechao;  Zhang, Xi;  Lu, Hanqing
浏览  |  Adobe PDF(927Kb)  |  收藏  |  浏览/下载：442/125  |  提交时间：2016/03/30
Recommender System  Matrix Factorization  User-item Subgroup  Collaborative Filtering