• Corpus ID: 238856643

Recommending POIs for Tourists by User Behavior Modeling and Pseudo-Rating

@article{Yi2021RecommendingPF,
  title={Recommending POIs for Tourists by User Behavior Modeling and Pseudo-Rating},
  author={Kun Yi and Ryujiro Yamagishi and Taishan Li and Zhengyang Bai and Qiang Ma},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.06523}
}
POI recommendation is a key task in tourism information systems. However, in contrast to conventional point of interest (POI) recommender systems, the available data is extremely sparse; most tourist visit a few sightseeing spots once and most of these spots have no check-in data from new tourists. Most conventional systems rank sightseeing spots based on their popularity, reputations, and category-based similarities with users’ preferences. They do not clarify what users can experience in… 

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