Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation

24 Jan 2020Hossein A. RahmaniMohammad AliannejadiMitra BaratchiFabio Crestani

With the popularity of Location-based Social Networks, Point-of-Interest (POI) recommendation has become an important task, which learns the users' preferences and mobility patterns to recommend POIs. Previous studies show that incorporating contextual information such as geographical and temporal influences is necessary to improve POI recommendation by addressing the data sparsity problem... (read more)

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