Rakuten Data Release: A Large-Scale and Long-Term Reviews Corpus for Hotel Domain
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Abstract (arXiv)
This paper presents a large-scale corpus of Rakuten Travel Reviews. Our collection contains 7.29 million customer reviews for 16 years, ranging from 2009 to 2024. Each record in the dataset contains the review text, its response from an accommodation, an anonymized reviewer ID, review date, accommodation ID, plan ID, plan title, room type, room name, purpose, accompanying group, and user ratings from six aspect categories, as well as an overall score. We present statistical information about our corpus and provide insights into factors driving data drift between 2019 and 2024 using statistical approaches.
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References · 6
- 2024Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoderscited by 213
- 2020The Multilingual Amazon Reviews Corpuscited by 142
- 2021Joint Optimization of Tokenization and Downstream Modelcited by 15
- 2024Enhancing Travel Decision-Making: A Contrastive Learning Approach for Personalized Review Rankings in Accommodationscited by 2
- 2025SymCERE: Symmetric Contrastive Learning for Robust Review-Enhanced Recommendationcited by 1
- 2025Comprehensive Evaluation on Lexical Normalization: Boundary-Aware Approaches for Unsegmented Languagescited by 1
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