Acerca de este artículo
Publicado en línea: 29 mar 2019
Páginas: 101 - 115
Recibido: 29 ene 2019
Aceptado: 14 feb 2019
DOI: https://doi.org/10.2478/cait-2019-0006
Palabras clave
© 2019 Anthony Nosshi et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
In movie domain, finding the appropriate movie to watch is a challenging task. This paper proposes a recommender system that suggests movies in cinema that fit the user’s available time, location, mood and emotions. Conducted experiments for evaluation showed that the proposed method outperforms the other baselines.