Cold Start Modeling

Cold Start Modeling is a user modeling approach that addresses the challenge of generating accurate predictions or recommendations for new users or items with little to no historical interaction data by leveraging auxiliary information, inherent attributes, or transferable knowledge from related domains.

242

Publications

13.4K

Citations

871

Authors

288

Institutions

Publications per year

2017–2026

121

Authors

871

  1. KJ
    Kui Jiao

    Tianjin University, China

    9 publications · 1.2K citations

    9

    h-index

  2. LW
    Lin Wei

    Guangzhou Institute of Energy Conversion, China

    5 publications · 169 citations

    5

    h-index

  3. CG
    Changming Gong

    Jilin University, China

    5 publications · 297 citations

    5

    h-index

  4. RL
    Rui Lin

    Tongji University, China

    5 publications · 278 citations

    5

    h-index

  5. FJ
    Fangming Jiang

    Guangzhou Institute of Energy Conversion, China

    5 publications · 192 citations

    5

    h-index

1–5 of 871

Venues

  1. 15

    h-index

  2. Fuel

    11 publications · 441 citations

    11

    h-index

  3. International Journal of Hydrogen Energy

    11 publications · 579 citations

    11

    h-index

  4. Journal of The Electrochemical Society

    JES · 9 publications · 595 citations

    9

    h-index

  5. Expert Systems with Applications

    7 publications · 1.1K citations

    7

    h-index

1–5