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Advances in Intelligent Systems and Computing
In movie/TV collaborative recommendation approaches, ratings users gave to already visited content are often used as the only input to build profiles. However, users might have rated equally the same movie but due to different reasons: either because of its genre, the crew or the director. In such cases, this rating is insufficient to represent in detail users' preferences and it is wrong to conclude that they share similar tastes. The work presented in this paper tries to solve this ambiguitydoi:10.1007/978-3-319-56535-4_33 fatcat:eq5pr6eclnc73a244qsu7abx2a