In this paper, we present an ongoing work that will ultimately result in a movie recommender system based on the Mise-en-Scène characteristics of the movies. We believe that the preferences of users on movies can be well described in terms of the mise-en-scène, i.e., the design aspects of movie making influencing aesthetic and style. Examples of mise-en-scène characteristics are Lighting, colors, background, and movements. Our recommender system opens new opportunities in the design of new user interfaces able to offer a personalized way to search for interesting movies through the analysis of film styles rather than using the traditional classifications of movies based on explicit attributes such as genre and cast.
Deldjoo, Y., Elahi, M., Cremonesi, P., Garzotto, F., Piazzolla, P. (2016). Recommending Movies Based on Mise-en-Scene Design. In CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp.1540-1547). Association for Computing Machinery [10.1145/2851581.2892551].
Recommending Movies Based on Mise-en-Scene Design
Garzotto F.;
2016
Abstract
In this paper, we present an ongoing work that will ultimately result in a movie recommender system based on the Mise-en-Scène characteristics of the movies. We believe that the preferences of users on movies can be well described in terms of the mise-en-scène, i.e., the design aspects of movie making influencing aesthetic and style. Examples of mise-en-scène characteristics are Lighting, colors, background, and movements. Our recommender system opens new opportunities in the design of new user interfaces able to offer a personalized way to search for interesting movies through the analysis of film styles rather than using the traditional classifications of movies based on explicit attributes such as genre and cast.| File | Dimensione | Formato | |
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