3 papers
cs.CV2018
Convolutional Collaborative Filter Network for Video Based Recommendation Systems
Cheng-Kang Hsieh, Miguel Campo, Abhinav Taliyan +3
This analysis explores the temporal sequencing of objects in a movie trailer. Temporal sequencing of objects in a movie trailer (e.g., a long shot of an object vs intermittent shor…
cs.IR2018
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
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…