FM-Intent: Predicting User Session Intent with Hierarchical Multi-Task Learning

Netflix has developed FM-Intent, a recommendation model that uses hierarchical multi-task learning to predict user session intent, enhancing next-item predictions. Unlike conventional models, FM-Intent establishes a hierarchy where user intent informs item recommendations, improving accuracy. Experiments show significant performance gains, and the model suggests applications for personalized recommendations and content discovery within Netflix's ecosystem.