Working Notes Proceedings of MediaEval 2018: Multimedia Benchmark Workshop
In this paper we introduce the MediaEval 2018 task Recommending Movies Using Content. It focuses on predicting overall scores
that users give to movies, i.e., average rating (representing overall
appreciation of the movies by the viewers) and the rating variance/standard deviation (representing agreement/disagreement between users) using audio, visual and textual features derived from
selected movie scenes. We release a dataset of movie clips consisting of 7K clips for 800 unique movies. In the paper, we present the
challenge, the dataset and ground truth creation, the evaluation
protocol and the requested runs.