Recommender Systems for Unified Modeling Language and Vice Versa—A Systematic Literature Review
Recommender systems (RSs) are fundamental tools that address data redundancy and serve as intelligent supplements for tasks such as data retrieval and refinement by analyzing user behavior.Nowadays, RSs are utilized in various domains, ranging from filtering web news based on user preferences to recommending movies, music, books, and articles in Qu