Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation
Author:
Affiliation:
1. East China Normal University, Shanghai, China
2. Shanghai Jiao Tong University, Shanghai, China
3. Beijing Institute of Technology, Beijing, China
4. Tsinghua University, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3459637.3482443
Reference46 articles.
1. Xiaofu Chang Xuqin Liu Jianfeng Wen Shuang Li Yanming Fang Le Song and Yuan Qi. 2020. Continuous-Time Dynamic Graph Learning via Neural Interaction Processes. In CIKM. 145--154. Xiaofu Chang Xuqin Liu Jianfeng Wen Shuang Li Yanming Fang Le Song and Yuan Qi. 2020. Continuous-Time Dynamic Graph Learning via Neural Interaction Processes. In CIKM. 145--154.
2. Tianwen Chen and Raymond Chi-Wing Wong. 2020. Handling Information Loss of Graph Neural Networks for Session-based Recommendation. In SIGKDD. 1172--1180. Tianwen Chen and Raymond Chi-Wing Wong. 2020. Handling Information Loss of Graph Neural Networks for Session-based Recommendation. In SIGKDD. 1172--1180.
3. Yile Chen Cheng Long Gao Cong and Chenliang Li. 2020. Context-aware Deep Model for Joint Mobility and Time Prediction. In WSDM. 106--114. Yile Chen Cheng Long Gao Cong and Chenliang Li. 2020. Context-aware Deep Model for Joint Mobility and Time Prediction. In WSDM. 106--114.
Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Adaptive self-supervised learning for sequential recommendation;Neural Networks;2024-11
2. Dual Frequency-based Temporal Sequential Recommendation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
3. Fusion-based Masked Autoencoder for Sequence Recommendation;2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI);2024-05-24
4. GraphPro: Graph Pre-training and Prompt Learning for Recommendation;Proceedings of the ACM Web Conference 2024;2024-05-13
5. Stochastic shared embeddings and latent intent aware self-attention for sequential recommendation;Multimedia Tools and Applications;2024-03-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3