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.

With the rapid expansion of the Internet in the information age, individuals can effortlessly access a vast array of data on a daily basis. However, this phenomenon also gives rise to challenges such ...

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 ...