Movie SCoRe
Harris Papadakis, Nikos Michalakis, Paraskevi Fragopoulou, Costas Panagiotakis, Athanasios G. Malamos · 2017
Recommender systems try to predict the preferences of users for specific items, based on an analysis of previous consumer behaviour. In this paper, we present Movie SCoRe, a mobile device application for personalized movie recommendation, based on a novel recommendation algorithm. This easy-to-use application allows users to effortlessly specify their preferences by rating already watched movies. The application, in turn, employs the aforementioned state-of-the-art algorithm in order to provide the user with accurate, personalized movie recommendations. In this paper, we describe the design, implementation and functionality of the mobile-based application as well as the basis of the underlying recommendation algorithm.