Long-term Utility

Long-Term Utility is an evaluation metric in the domain of recommender systems that measures the sustained value or benefit of recommendations over extended user interaction timelines, distinguishing itself from short-term utility metrics by capturing delayed effects such as user retention, satisfaction, and behavioral changes beyond immediate engagement.

108

Publications

7.1K

Citations

472

Authors

251

Institutions

Publications per year

2017–2026

49

Authors

472

  1. NZ
    Nan Zhao

    Hubei University of Technology, China

    3 publications · 163 citations

    3

    h-index

  2. MV
    Mihaela van der Schaar

    University of California, Los Angeles, United States

    3 publications · 132 citations

    3

    h-index

  3. RR
    Ronen Rubinshtein

    Carmel Medical Center, Israel

    2 publications · 146 citations

    2

    h-index

  4. TQ
    Tracy Q. Callister

    Cedars-Sinai Medical Center, United States

    2 publications · 146 citations

    2

    h-index

  5. YL
    Yi Liu

    Guangdong University of Technology, China

    2 publications · 765 citations

    2

    h-index

1–5 of 472

Venues

  1. IEEE Access

    4 publications · 220 citations

    4

    h-index

  2. PubMed

    Repository · 4 publications · 142 citations

    4

    h-index

  3. IEEE Internet of Things Journal

    4 publications · 863 citations

    4

    h-index

  4. IEEE Transactions on Wireless Communications

    3 publications · 195 citations

    3

    h-index

  5. IEEE Transactions on Vehicular Technology

    3 publications · 788 citations

    3

    h-index

1–5