Cinemappy: a context-aware mobile app for movie recommendations boosted by DBpedia
作者： Eugenio Di Sciascio , Tommaso Di Noia , Roberto Mirizzi , Vito Claudio Ostuni , Davide Romito
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摘要: The recent spread of the so called Web Data has made available a vast amount interconnected data, paving way to new generation ubiquitous applications able exploit information encoded in it. In this paper we present Cinemappy, location-based application that computes contextual movie recommendations. Cinemappy refines recommendation results content-based recommender system by exploiting related current spatial and temporal position user. engine leverages DBpedia, one best-known datasets publicly Linked Open (LOD) project.
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