Development of a novel deep learning architecture to accurately predict user preferences based on their viewing behavior and patterns. Integration of graph analysis techniques with deep learning to ...

Recommender systems (RSs) have evolved significantly since their early applications in the mid-1990s. This was driven by the need to filter vast amounts of digital content and tailor suggestions to ...

Netflix’s recommendation engine is more than a convenience—it’s a finely tuned AI system that drives over 80% of what people watch. By blending collaborative filtering, deep learning, and now ...