The weight of a review: Assessing Booking.com’s new scoring system

This study examines Booking.com’s January 2025 update to its review scoring system, which shifts from an arithmetic mean of all guest reviews over the past 3 years to a weighted algorithm. The new system prioritizes recent reviews while reducing the impact of older ones. Using a sample of 100 Spanish hotels and 74,882 reviews, we identify the weighting scheme: 85% for reviews from the last 12-month period, 10% for previous year, and 5% for the year before that. Our findings indicate a minimal overall impact on hotel ratings, with most properties undergoing a variation of less than 0.1 points out of 10. While the updated system provides a more dynamic reflection of current service quality, it also introduces risks, such as increased vulnerability to fraudulent reviews and short-term fluctuations. This change poses challenges for academic studies on hotel reputation and highlights the need for greater transparency in algorithmic scoring systems.

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Publication Details

Journal
Tourism and Hospitality Research
Published
2025-09-29
DOI
https://doi.org/10.1177/14673584251384011
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

The weight of a review: Assessing Booking.com’s new scoring system

Eva Martín-Fuentes, Juan Pedro Mellinas, Chiara Di Nolfo-Aiassa
Tourism and Hospitality Research
Digital Marketing and Social Media
article

The weight of a review: Assessing Booking.com’s new scoring system

Eva Martín-Fuentes, Juan Pedro Mellinas, Chiara Di Nolfo-Aiassa
article en

Abstract

This study examines Booking.com’s January 2025 update to its review scoring system, which shifts from an arithmetic mean of all guest reviews over the past 3 years to a weighted algorithm. The new system prioritizes recent reviews while reducing the impact of older ones. Using a sample of 100 Spanish hotels and 74,882 reviews, we identify the weighting scheme: 85% for reviews from the last 12-month period, 10% for previous year, and 5% for the year before that. Our findings indicate a minimal overall impact on hotel ratings, with most properties undergoing a variation of less than 0.1 points out of 10. While the updated system provides a more dynamic reflection of current service quality, it also introduces risks, such as increased vulnerability to fraudulent reviews and short-term fluctuations. This change poses challenges for academic studies on hotel reputation and highlights the need for greater transparency in algorithmic scoring systems.

Tourism and Hospitality Research
Universitat de Lleida (ES), Universidad de Murcia (ES)
Openalex Percentile: Top 65%
Digital Marketing and Social Media
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