Concepedia

Few-shot Recommendation

Few-Shot Recommendation is a recommendation paradigm that enables accurate item suggestions for new or sparsely interacted users and items by leveraging a minimal number of observed interactions, distinguishing it from general recommendation methods through its focus on rapid adaptation under extreme data scarcity.

16

Publications

478

Citations

62

Authors

28

Institutions

Publications per year

2017–2026

16

Parents

Publications

16

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks

Yingpeng Du, Di Luo, Rui Yan et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2024 · 76 citations · Full text

, , +12

Is ChatGPT a Good Recommender? A Preliminary Study

Junling Liu, Chao Liu, Renjie Lv et al. · arXiv (Cornell University) · 2023 · 46 citations · Full text

, , +15

Personalized Prompt for Sequential Recommendation

Yiqing Wu, Ruobing Xie, Yongchun Zhu et al. · IEEE Transactions on Knowledge and Data Engineering · 2024 · 45 citations

, , +13

Mitigating long tail effect in recommendations using few shot learning technique

Rama Syamala Sreepada · Expert Systems with Applications · 2019 · 44 citations

, , +13

MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation

Huimin Sun, Jiajie Xu, Kai Zheng et al. · 2021 · 35 citations · Full text

, , +14

1–5 of 16

Authors

62

  1. AS
    Aravind Sankar

    University of Illinois Urbana-Champaign, United States

    1 publications · 23 citations

    1

    h-index

  2. HH
    He Hu

    Renmin University of China, China

    1 publications · 32 citations

    1

    h-index

  3. YS
    Yang Song

    University of North Carolina Wilmington, United States

    1 publications · 76 citations

    1

    h-index

  4. KZ
    Kang Zhou

    ShanghaiTech University, China

    1 publications · 46 citations

    1

    h-index

  5. XZ
    Xiaofang Zhou

    The University of Queensland, Australia

    1 publications · 35 citations

    1

    h-index

1–5 of 62

Institutions

28

  1. Renmin University of China

    Beijing, China

    2 h-index

    8 publications

    344 citations

  2. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    1 h-index

    1 publications

    35 citations

  3. Kuaishou (China)

    Beijing, China

    1 h-index

    1 publications

    31 citations

  4. Jilin University

    Changchun, China

    1 h-index

    3 publications

    105 citations

  5. University of California, Los Angeles

    Los Angeles, United States

    1 h-index

    2 publications

    60 citations

  6. University of Illinois System

    Urbana, United States

    1 h-index

    1 publications

    23 citations

  7. Tsinghua University

    Beijing, China

    1 h-index

    5 publications

    155 citations

  8. Zhuhai Institute of Advanced Technology

    Zhuhai, China

    1 h-index

    4 publications

    52 citations

1–8 of 28

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 58 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 64 citations

    2

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 76 citations

    1

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 31 citations

    1

    h-index

  5. 1

    h-index

1–5