A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion

@article{Aliannejadi2018ACR,
  title={A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion},
  author={Mohammad Aliannejadi and Dimitrios Rafailidis and Fabio A. Crestani},
  journal={Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval},
  year={2018}
}
Recommending venues plays a critical rule in satisfying users' needs on location-based social networks. Recent studies have explored the idea of adopting collaborative ranking (CR) for recommendation, combining the idea of learning to rank and collaborative filtering. However, CR suffers from the sparsity problem, mainly because it associates similar users based on exact matching of the venues in their check-in history. Even though research in collaborative filtering has shown that considering… 

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