A Novelty-Seeking based Dining Recommender System

  title={A Novelty-Seeking based Dining Recommender System},
  author={Fuzheng Zhang and Kai Zheng and Nicholas Jing Yuan and Xing Xie and Enhong Chen and Xiaofang Zhou},
The rapid growth of location-based services provide the potential to understand people's mobility pattern at an unprecedented level, which can also enable food-service industry to accurately predict consumer's dining behavior. In this paper, by leveraging users' historical dining pattern, socio-demographic characteristics and restaurants' attributes, we aim at generating the top-K restaurants for a user's next dining. Compared to previous studies in location prediction which mainly focus on… CONTINUE READING
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