9 citations · 23 across the 4 of their papers we have counts for
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cs.IR2018★ 9 cited
Competitive Analysis System for Theatrical Movie Releases Based on Movie Trailer Deep Video Representation
Miguel Campo, Cheng-Kang Hsieh, Matt Nickens +5
Audience discovery is an important activity at major movie studios. Deep models that use convolutional networks to extract frame-by-frame features of a movie trailer and represent…
cs.IR2018★ 6 cited
Collaborative Metric Learning Recommendation System: Application to Theatrical Movie Releases
Miguel Campo, JJ Espinoza, Julie Rieger +1
Product recommendation systems are important for major movie studios during the movie greenlight process and as part of machine learning personalization pipelines. Collaborative Fi…