Concepedia

Cross-domain Matrix Factorization

Cross-Domain Matrix Factorization is a matrix factorization method that extends traditional collaborative filtering by jointly modeling user-item interactions across multiple domains to transfer latent knowledge, thereby improving recommendation accuracy in target domains with sparse data.

62

Publications

3.3K

Citations

214

Authors

85

Institutions

Publications per year

2017–2026

43

Parents

Publications

62

Can movies and books collaborate?: cross-domain collaborative filtering for sparsity reduction

Bin Li, Qiang Yang, Xiangyang Xue · 2009 · 343 citations

, , +15

Personalized recommendation via cross-domain triadic factorization

Liang Hu, Jian Cao, Guandong Xu et al. · 2013 · 263 citations

, , +15

A cross-domain collaborative filtering algorithm with expanding user and item features via the latent factor space of auxiliary domains

Xu Yu, Feng Jiang, Junwei Du et al. · Pattern Recognition · 2019 · 181 citations

, , +14

A Deep Framework for Cross-Domain and Cross-System Recommendations

Feng Zhu, Yan Wang, Chaochao Chen et al. · 2018 · 152 citations · Full text

, , +13

A survey of transfer learning for collaborative recommendation with auxiliary data

Weike Pan · Neurocomputing · 2015 · 136 citations

, , +15

1–5 of 62

Authors

214

  1. AK
    Ashish Kumar Sahu

    Motilal Nehru National Institute of Technology, India

    4 publications · 103 citations

    4

    h-index

  2. PD
    Pragya Dwivedi

    Motilal Nehru National Institute of Technology, India

    4 publications · 103 citations

    4

    h-index

  3. LC
    Longbing Cao

    University of Technology Sydney, Australia

    3 publications · 304 citations

    3

    h-index

  4. ZG
    Zhiping Gu

    University of Technology Sydney, Australia

    3 publications · 304 citations

    3

    h-index

  5. JC
    Jian Cao

    Shanghai Jiao Tong University, China

    3 publications · 304 citations

    3

    h-index

1–5 of 214

Institutions

85

  1. University of Technology Sydney

    Sydney, Australia

    6 h-index

    14 publications

    810 citations

  2. Tsinghua University

    Beijing, China

    4 h-index

    17 publications

    479 citations

  3. Motilal Nehru National Institute of Technology

    Prayagraj, India

    4 h-index

    8 publications

    206 citations

  4. Shanghai Jiao Tong University

    Shanghai, China

    3 h-index

    7 publications

    871 citations

  5. Qingdao University of Science and Technology

    Qingdao, China

    3 h-index

    14 publications

    1.3K citations

  6. Shanghai Technical Institute of Electronics & Information

    Shanghai, China

    2 h-index

    2 publications

    289 citations

  7. King Abdullah University of Science and Technology

    Jeddah, Saudi Arabia

    2 h-index

    3 publications

    93 citations

  8. Tianjin University

    Tianjin, China

    2 h-index

    5 publications

    103 citations

1–8 of 85

Venues

  1. Neurocomputing

    4 publications · 273 citations

    4

    h-index

  2. IEEE Access

    3 publications · 55 citations

    3

    h-index

  3. Information Sciences

    2 publications · 156 citations

    2

    h-index

  4. User Modeling and User-Adapted Interaction

    2 publications · 217 citations

    2

    h-index

  5. Procedia Computer Science

    2 publications · 31 citations

    2

    h-index

1–5