Location Recommendation Systems

Location Recommendation Systems is a computational framework within location intelligence that generates personalized suggestions of geographic locations by integrating spatial, temporal, and user behavioral data to predict and recommend places of potential interest to an individual user.

427

Publications

28.8K

Citations

1.2K

Authors

457

Institutions

Publications per year

2017–2026

176

Variants

Location Recommender Systems

Authors

1.2K

  1. XX
    Xing Xie

    Microsoft Research Asia (China), China

    20 publications · 6.5K citations

    19

    h-index

  2. YZ
    Yu Zheng

    Microsoft Research Asia (China), China

    13 publications · 5.6K citations

    13

    h-index

  3. MF
    Mohamed F. Mokbel

    University of Minnesota, United States

    10 publications · 2K citations

    10

    h-index

  4. HY
    Hongzhi Yin

    The University of Queensland, Australia

    9 publications · 924 citations

    9

    h-index

  5. XZ
    Xiaofang Zhou

    The University of Queensland, Australia

    8 publications · 339 citations

    8

    h-index

1–5 of 1.2K

Venues

  1. Expert Systems with Applications

    11 publications · 596 citations

    11

    h-index

  2. ISPRS International Journal of Geo-Information

    IJGI · 9 publications · 235 citations

    9

    h-index

  3. ACM Transactions on Intelligent Systems and Technology

    TIST · 9 publications · 728 citations

    9

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 8 publications · 800 citations

    8

    h-index

  5. ACM Transactions on Information Systems

    7 publications · 440 citations

    7

    h-index

1–5