A Collaborative Ranking Model with Contextual Similarities for Venue Suggestion

While recent studies have explored the idea of adopting collaborative ranking (CR) for recommendation, there has been no attempt to incorporate contextual similarities between venues. In this study, we explore the effect of incorporating contextual similarities into the learning strategy of a CR model. By enhancing the latent associations between users with contextual similarities, our experiments show that contextual similarities improve the performance of CR.