Candidate Item Selection

Candidate Item Selection is a recommendation process step that involves identifying a subset of items from the full item space which are potentially relevant to a user, distinguished by its role in filtering candidate items for further ranking or scoring within conversational recommendation systems.

77

Publications

10K

Citations

295

Authors

142

Institutions

Publications per year

2017–2026

30

Authors

295

  1. HK
    Hye-Young Kim

    Yong In University, South Korea

    3 publications · 141 citations

    3

    h-index

  2. SK
    Sehyug Kwon

    Hannam University, South Korea

    3 publications · 141 citations

    3

    h-index

  3. JL
    Jung-Sug Lee

    Kookmin University, South Korea

    3 publications · 141 citations

    3

    h-index

  4. HR
    Hae Rang Chung

    Yonsei University, South Korea

    3 publications · 141 citations

    3

    h-index

  5. TK
    Tong‐Kyung Kwak

    Yonsei University, South Korea

    3 publications · 141 citations

    3

    h-index

1–5 of 295

Venues

  1. Applied Psychological Measurement

    4 publications · 149 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 107 citations

    3

    h-index

  3. Journal of Nutrition and Health

    JNH · 3 publications · 141 citations

    3

    h-index

  4. Journal of Oral Rehabilitation

    2 publications · 119 citations

    2

    h-index

  5. Journal of Classification

    2 publications · 95 citations

    2

    h-index

1–5