End-to-End Personalization: Unifying Recommender Systems with Large Language Models

Danial Ebrat, Tina Aminian, Sepideh Ahmadian +1

Recommender systems are essential for guiding users through the vast and diverse landscape of digital content by delivering personalized and relevant suggestions. However, improvin…