Predictive Analytics For Hotels

Predictive Analytics for Hotels is a computational methodology that applies statistical models and machine learning techniques to historical and real-time hospitality data to forecast guest behavior, optimize pricing, and enhance operational decision-making within the lodging industry.

60

Publications

3.6K

Citations

159

Authors

91

Institutions

Publications per year

2017–2026

44

Authors

159

  1. RL
    Rob Law

    Hong Kong Polytechnic University, Hong Kong SAR China

    5 publications · 200 citations

    5

    h-index

  2. BP
    Bing Pan

    College of Charleston, United States

    3 publications · 498 citations

    3

    h-index

  3. AG
    Anu G. Aggarwal

    University of Delhi, India

    2 publications · 89 citations

    2

    h-index

  4. AD
    Ana de Almeida

    Iscte – Instituto Universitário de Lisboa, Portugal

    2 publications · 109 citations

    2

    h-index

  5. LN
    Luís Nunes

    Iscte – Instituto Universitário de Lisboa, Portugal

    2 publications · 109 citations

    2

    h-index

1–5 of 159

Venues

  1. 5

    h-index

  2. 4

    h-index

  3. Journal of Travel & Tourism Marketing

    JTTM · 2 publications · 74 citations

    2

    h-index

  4. Applied Sciences

    2 publications · 48 citations

    2

    h-index

  5. Journal of Hospitality Marketing & Management

    JHMM · 2 publications · 78 citations

    2

    h-index

1–5