Recommendation Systems (RS) play a crucial role in delivering personalized item suggestions, yet traditional methods often struggle with accuracy, scalability, efficiency, and cold-start challenges.

Collaborative filtering (CF) over ordinal feedback is naturally organized as a problem of matrix completion, where the input consists of a partially observed user-item interaction matrix. Maximum ...

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 ...