Concepedia

Deep Learning For Personalization

Deep Learning for Personalization is a computational framework that leverages deep neural networks to model and predict user preferences and behaviors at scale, distinguishing itself from traditional personalization approaches through its capacity to automatically extract hierarchical representations from high-dimensional, unstructured data.

335

Publications

22K

Citations

1.3K

Authors

473

Institutions

Publications per year

2017–2026

311

Parents

Publications

335

Deep Neural Networks for YouTube Recommendations

Paul Covington, Jay Adams, Emre Sargin · 2016 · 3.4K citations · Full text

, , +16

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

Jared Katzman, Uri Shaham, Alexander Cloninger et al. · BMC Medical Research Methodology · 2018 · 1.9K citations · Full text

, , +17

Deep Learning based Recommender System: A Survey and New Perspectives

Shuai Zhang, Lina Yao, Aixin Sun · arXiv (Cornell University) · 2017 · 656 citations · Full text

, , +14

Federated Learning with Personalization Layers

Manoj Ghuhan Arivazhagan, Vinay K. Aggarwal, Aaditya Kumar Singh et al. · arXiv (Cornell University) · 2019 · 520 citations · Full text

, , +11

Deep Learning Recommendation Model for Personalization and Recommendation Systems

Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi et al. · arXiv (Cornell University) · 2019 · 390 citations · Full text

, , +15

1–5 of 335

Authors

1.3K

  1. JT
    Jiliang Tang

    Michigan State University, United States

    5 publications · 562 citations

    5

    h-index

  2. XZ
    Xiangyu Zhao

    City University of Hong Kong, Hong Kong SAR China

    5 publications · 579 citations

    5

    h-index

  3. CW
    Carole-Jean Wu

    Arizona State University, United States

    4 publications · 685 citations

    4

    h-index

  4. QT
    Qingmei Tan

    Nanjing University of Aeronautics and Astronautics, China

    3 publications · 41 citations

    3

    h-index

  5. XW
    Xiaodong Wang

    Columbia University, United States

    3 publications · 663 citations

    3

    h-index

1–5 of 1.3K

Institutions

473

  1. Tsinghua University

    Beijing, China

    9 h-index

    28 publications

    2K citations

  2. Tel Aviv University

    Tel Aviv, Israel

    5 h-index

    14 publications

    1.2K citations

  3. University of Chinese Academy of Sciences

    Beijing, China

    5 h-index

    9 publications

    483 citations

  4. Peking University

    Beijing, China

    5 h-index

    11 publications

    536 citations

  5. Adobe Systems (United States)

    San Jose, United States

    5 h-index

    16 publications

    1.2K citations

  6. Tongji University

    Shanghai, China

    5 h-index

    9 publications

    608 citations

  7. Chinese Academy of Sciences

    Beijing, China

    5 h-index

    11 publications

    1.3K citations

  8. Zhejiang University

    Hangzhou, China

    5 h-index

    20 publications

    784 citations

1–8 of 473

Venues

  1. arXiv (Cornell University)

    Repository · 24 publications · 2.1K citations

    17

    h-index

  2. IEEE Access

    10 publications · 488 citations

    10

    h-index

  3. Applied Sciences

    8 publications · 506 citations

    8

    h-index

  4. Expert Systems with Applications

    8 publications · 351 citations

    8

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 7 publications · 488 citations

    7

    h-index

1–5