A Food Venue Recommender System Based on Multilingual Geo-Tagged Tweet Analysis

@article{Siriaraya2018AFV,
  title={A Food Venue Recommender System Based on Multilingual Geo-Tagged Tweet Analysis},
  author={Panote Siriaraya and Yusuke Nakaoka and Yuanyuan Wang and Yukiko Kawai},
  journal={2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)},
  year={2018},
  pages={686-689}
}
This paper proposes a novel system which utilizes information from a social network services to suggest food venues to users based on crowd preferences. To recommend an appropriate food venue for each crowd preference, the system ranks food venues in each region by using an improved collaborative filtering method based on the differences between locations and languages in geo-tagged tweets. A key feature of the proposed system is the ability to suggest food venues in regions where very few geo… CONTINUE READING

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