Personalization, Algorithms, Recommendation System.
collectively serve as a sophisticated lens through which the inner workings of recommender systems can be meticulously examined, understood, and classified. Each dimension sheds light on the inner mechanisms of recommendation engines, offering profound insights into the intricate artistry behind