ViHoRec: A Quality-Controlled Vietnamese Hotel Recommendation Dataset and Cold-Start Benchmark
Researchers introduce ViHoRec, a quality-controlled Vietnamese hotel recommendation dataset to aid AI research and development.
- ViHoRec is a quality-controlled Vietnamese hotel recommendation dataset.
- The dataset has 18,267 interactions between 6,832 users and 560 hotels.
- ViHoRec is designed to be reproducible, audited, and privacy-preserving.
A team of researchers has developed ViHoRec, a quality-controlled Vietnamese hotel recommendation dataset. This dataset aims to address the lack of public resources for Vietnamese recommender-system research. With 18,267 interactions between 6,832 users and 560 hotels, ViHoRec provides a benchmark for cold-start conditions. The dataset is designed to be reproducible, audited, and privacy-preserving, making it a valuable resource for AI researchers and developers.
The release of ViHoRec is significant as it fills a gap in the availability of public datasets for Vietnamese recommender-system research. This dataset has the potential to boost AI research and development in the region, enabling the creation of more accurate and effective recommendation systems.
The dataset is available on arXiv, a popular platform for sharing research papers and datasets.
ViHoRec provides a valuable resource for AI researchers and developers to improve recommendation systems.
The dataset can help businesses develop more accurate and effective recommendation systems for the Vietnamese market.
The release of ViHoRec may attract investors interested in AI research and development in the region.
ViHoRec is a significant development in AI research and development in Vietnam.
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