Location-based Group Recommendation

Location-Based Group Recommendation is a group recommendation approach that integrates geographic proximity and location-related contextual information to generate personalized suggestions for a collective of users, distinguishing itself from general group recommendation methods by explicitly incorporating spatial constraints and mobility patterns into the decision-making process.

15

Publications

691

Citations

53

Authors

25

Institutions

Publications per year

2017–2026

8

Authors

53

  1. MT
    Mohammad Taleai

    K.N.Toosi University of Technology, Iran

    2 publications · 67 citations

    2

    h-index

  2. ZB
    Zahra Bahari Sojahrood

    K.N.Toosi University of Technology, Iran

    2 publications · 67 citations

    2

    h-index

  3. RD
    Ram Deepak Gottapu

    Missouri University of Science and Technology, United States

    1 publications · 14 citations

    1

    h-index

  4. JH
    Jiawei Han

    University of Illinois Urbana-Champaign, United States

    1 publications · 121 citations

    1

    h-index

  5. XZ
    Xiangguo Zhao

    Northeastern University, China

    1 publications · 12 citations

    1

    h-index

1–5 of 53

Venues

  1. Information Sciences

    2 publications · 118 citations

    2

    h-index

  2. Procedia Computer Science

    2 publications · 25 citations

    2

    h-index

  3. IEEE Access

    1 publications · 43 citations

    1

    h-index

  4. Transactions in GIS

    1 publications · 14 citations

    1

    h-index

  5. ACM/IMS Transactions on Data Science

    TDS · 1 publications · 38 citations

    1

    h-index

1–5