Recommending movies based on mise-en-scene design

Published in Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2016

Recommended citation: Yashar Deldjoo, Paolo Cremonesi, Markus Schedl, Massimo Quadrana In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 1540-1547). ACM. (CHI Extended Abstracts 2016).

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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.