Using visual features based on MPEG-7 and deep learning for movie recommendation

IJMIR, Volume 7, Issue 4, 2018, Pages 207-219.

Cited by: 29|Views47
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Abstract:

Item features play an important role in movie recommender systems, where recommendations can be generated by using explicit or implicit preferences of users on traditional features (attributes) such as tag, genre, and cast. Typically, movie features are human-generated, either editorially (e.g., genre and cast) or by leveraging the wisdom...More

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