Concepedia

Memory-based Sequential Recommendation

Memory-Based Sequential Recommendation is a sequential recommendation approach that incorporates an external memory module to store and retrieve historical user-item interaction patterns, thereby enhancing predictive accuracy by explicitly modeling long-term user preferences and item adoption dynamics through read, write, and address operations on the memory matrix.

11

Publications

1.1K

Citations

53

Authors

31

Institutions

Publications per year

2017–2026

11

Parents

Publications

11

Sequential Recommendation with User Memory Networks

Xu Chen, Hongteng Xu, Yongfeng Zhang et al. · 2018 · 508 citations · Full text

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Memory Augmented Graph Neural Networks for Sequential Recommendation

Chen Ma, Liheng Ma, Yingxue Zhang et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · 231 citations · Full text

, , +14

Long short-term enhanced memory for sequential recommendation

Jiasheng Duan, Peng-Fei Zhang, Ruihong Qiu et al. · World Wide Web · 2022 · 68 citations · Full text

, , +13

Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation

Jin Huang, Zhaochun Ren, Wayne Xin Zhao et al. · 2019 · 68 citations

, , +13

Dynamic Memory based Attention Network for Sequential Recommendation

Qiaoyu Tan, Jianwei Zhang, Ninghao Liu et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 63 citations · Full text

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1–5 of 11

Authors

53

  1. QT
    Qiaoyu Tan

    Texas A&M University, United States

    2 publications · 121 citations

    2

    h-index

  2. XH
    Xiao Huang

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 121 citations

    2

    h-index

  3. XW
    Xiaoling Wang

    East China Normal University, China

    2 publications · 85 citations

    2

    h-index

  4. RQ
    Ruihong Qiu

    The University of Queensland, Australia

    2 publications · 114 citations

    2

    h-index

  5. ZH
    Zi Huang

    The University of Queensland, Australia

    2 publications · 114 citations

    2

    h-index

1–5 of 53

Institutions

31

  1. Texas A&M University

    College Station, United States

    2 h-index

    4 publications

    247 citations

  2. Queensland University of Technology

    Brisbane, Australia

    2 h-index

    7 publications

    410 citations

  3. Hong Kong Polytechnic University

    Hong Kong, Hong Kong

    2 h-index

    4 publications

    237 citations

  4. Rutgers, The State University of New Jersey

    New Brunswick, United States

    2 h-index

    3 publications

    610 citations

  5. The University of Queensland

    Brisbane, Australia

    2 h-index

    7 publications

    410 citations

  6. East China Normal University

    Shanghai, China

    2 h-index

    3 publications

    112 citations

  7. Baidu (China)

    Beijing, China

    1 h-index

    1 publications

    68 citations

  8. Alibaba Group (United States)

    San Mateo, United States

    1 h-index

    3 publications

    189 citations

1–8 of 31

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 294 citations

    2

    h-index

  2. 2021 IEEE International Conference on Data Mining (ICDM)

    Conference · 1 publications · 46 citations

    1

    h-index

  3. 1

    h-index

  4. World Wide Web

    1 publications · 68 citations

    1

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 15 citations

    1

    h-index

1–5