Personalized ranking for context-aware venue suggestion

@inproceedings{Aliannejadi2017PersonalizedRF,
  title={Personalized ranking for context-aware venue suggestion},
  author={Mohammad Aliannejadi and Ida Mele and Fabio Crestani},
  booktitle={SAC},
  year={2017}
}
Making personalized and context-aware suggestions of venues to the users is very crucial in venue recommendation. These suggestions are often based on matching venues' features with users' preferences, which can be collected from previously visited locations. In this paper we present a novel user-modeling approach which relies on a set of scoring functions… CONTINUE READING