Session-based Interactive Recommendation via Deep Reinforcement Learning

被引：0
|
作者：
Shi, Longxiang [1 ]
Zhang, Zilin [4 ]
Wang, Shoujin [2 ]
Zhang, Qi [3 ]
Wu, Minghui [1 ]
Yang, Cheng [1 ]
Li, Shijian [4 ,5 ]
机构：
[1] Hangzhou City University, China
[2] University of Technology Sydney, Australia
[3] Tongji University, China
[4] Zhejiang University, China
[5] Qiantang Science and Technology Innovation Center, China
来源：
Proceedings - IEEE International Conference on Data Mining, ICDM | 2023年
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
23rd IEEE International Conference on Data Mining, ICDM 2023
中图分类号：
学科分类号：
摘要：
Deep learning - Graph neural networks - User profile
引用
收藏
页码：1319 / 1324
相关论文
共 50 条
  • [1] Session-based Interactive Recommendation via Deep Reinforcement Learning
    Shi, Longxiang
    Zhang, Zilin
    Wang, Shoujin
    Zhang, Qi
    Wu, Minghui
    Yang, Cheng
    Li, Shijian
    [J]. 23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING, ICDM 2023, 2023, : 1319 - 1324
  • [2] Multi-behavior Session-based Recommendation via Graph Reinforcement Learning
    Qin, Shuo
    Feng, Lin
    Xu, Lingxiao
    Deng, Bowen
    Li, Siwen
    Yang, Fancheng
    [J]. ASIAN CONFERENCE ON MACHINE LEARNING, VOL 222, 2023, 222
  • [3] Session-Based Recommendation via Hierarchical Graph Learning
    Yu, Li
    Gao, Zihao
    [J]. ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PT I, ICIC 2024, 2024, 14875 : 464 - 475
  • [4] Contrastive Learning for Session-Based Recommendation
    Chen, Yan
    Qian, Wanhui
    Liu, Dongqin
    Su, Yipeng
    Zhou, Yan
    Han, Jizhong
    Li, Ruixuan
    [J]. ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2022, PT IV, 2022, 13532 : 358 - 369
  • [5] Session-based Recommendation via Contrastive Learning on Heterogeneous Graph
    Li, Hangyue
    Luo, Xucheng
    Yu, Qinze
    Wang, Haoran
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2021, : 1077 - 1082
  • [6] Scalable Deep Q-Learning for Session-Based Slate Recommendation
    Roy, Aayush Singha
    D'Amico, Edoardo
    Tragos, Elias
    Lawlor, Aonghus
    Hurley, Neil
    [J]. PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023, 2023, : 877 - 882
  • [7] A Study of Deep Learning-Based Approaches for Session-Based Recommendation Systems
    Dang T.K.
    Nguyen Q.P.
    Nguyen V.S.
    [J]. SN Computer Science, 2020, 1 (4)
  • [8] Collaborative Graph Learning for Session-based Recommendation
    Pan, Zhiqiang
    Cai, Fei
    Chen, Wanyu
    Chen, Chonghao
    Chen, Honghui
    [J]. ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2022, 40 (04)
  • [9] Improving session-based recommendation with contrastive learning
    Tai, Wenxin
    Lan, Tian
    Wu, Zufeng
    Wang, Pengyu
    Wang, Yixiang
    Zhou, Fan
    [J]. USER MODELING AND USER-ADAPTED INTERACTION, 2023, 33 (01) : 1 - 42
  • [10] Self Contrastive Learning for Session-Based Recommendation
    Shi, Zhengxiang
    Wang, Xi
    Lipani, Aldo
    [J]. ADVANCES IN INFORMATION RETRIEVAL, ECIR 2024, PT I, 2024, 14608 : 3 - 20
12345