Exploring the Power of Visual Features for the Recommendation of Movies

pp. 303-308, 2019.

Cited by: 0|Views37
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Abstract:

In this paper, we explore the potential of using visual features in movie Recommender Systems. This type of content features can be extracted automatically without any human involvement and have been shown to be very effective in representing the visual content of movies. We have performed the following experiments, using a large dataset ...More

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