Personalization, Algorithms, Recommendation System.
allowed for a finely tuned balance between precision and diversity, catering to the multifaceted preferences of users. Matrix factorization techniques emerged as a cornerstone of algorithmic advancement. Researchers realized that these techniques could be employed to model complex interactions and