What question did this study set out to answer?

To develop a cloud-based ranking method that minimizes subjective user bias in online reviews to provide accurate hotel recommendation lists.

December 27, 2024Journal of the Operational Research Society

A decision support system for comments-adjusted ranking of hotels

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Authors

XWXiaokang WangShenzhen University HZHongyu ZhangHarbin University of Science and Technology YWYanan WangChinese Academy of Sciences

Discussion

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Implication

Observational analysis demonstrates a cloud-based ranking model for hotel recommendations, suggesting that accounting for user rating bias enhances review reliability.

Key Points

To develop a cloud-based ranking method that minimizes subjective user bias in online reviews to provide accurate hotel recommendation lists.
Adjusted numerical ratings using historical user rating distributions to minimize subjective interpretation bias.
Quantified qualitative text comments using sentiment analysis combined with cloud models, merging them with adjusted ratings into a unified score.
Validated the decision support model on a dataset comprising 87,735 users and 835,462 reviews sourced from TripAdvisor.com.
Successfully integrated adjusted numerical ratings and sentiment-quantified text into a composite ranking metric.
Identified that travelers should temper expectations derived from online hotel reviews, as reviews by couples and friends exhibit higher reliability for recommendations.

Cite This Study

Wang et al. (2024) studied this question.

synapsesocial.com/papers/6a6fa3d1f44fa9f079dd1b55 https://doi.org/10.1080/01605682.2024.2446683

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Implication

Observational analysis demonstrates a cloud-based ranking model for hotel recommendations, suggesting that accounting for user rating bias enhances review reliability.

A decision support system for comments-adjusted ranking of hotels

Discussion

Member takes

Implication

Key Points

Cite This Study

A decision support system for comments-adjusted ranking of hotels

Discussion

Member takes

Implication

Key Points

Cite This Study

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