Collaborative Metric Learning Recommendation System: Application to Theatrical Movie Releases

Understand

Product recommendation systems are important for major movie studios during the movie greenlight process and as part of machine learning personalization pipelines.

• Collaborative Filtering (CF) models have proved to be effective at powering recommender systems for online streaming services with explicit customer feedback data.
• CF models do not perform well in scenarios in which feedback data is not available, in cold start situations like new product launches, and situations with markedly different customer tiers (e.g., high frequency customers vs.
• casual customers).