What is the role of regulation and policy in shaping the future of recommendation systems?

Jul 25, 2023 ... Common machine-learning models for recommendation algorithms include neural networks and k-means clustering (kNN). Keep in mind that real-time ... Apr 27, 2023 ... A recommendation system is a type of machine learning system that provides personalized recommendations to users based on their past behaviors, preferences, ... Dec 7, 2024 ... Individualized Machine-learning-based Clinical Assessment Recommendation System. Devin Setiawan, Yumiko Wiranto, Jeffrey M. Girard, Amber ... Apr 17, 2023 ... Recommender systems, also known as recommendation systems, are machine learning algorithms that use data to recommend items or content to users ... Mar 4, 2024 ... Machine Learning-Enabled Recommendations for the Air Force Officer Assignment System. Volume 5. Avery Calkins, Monique Graham, Claude Messan ... The proposed livestreaming e-commerce recommendation system (LERS) enhances the exploration of new items by incorporating uncertainty into neural networks. Aug 15, 2022 ... This writeup is about using reinforcement learning to construct an optimal list of recommendations when the user has a finite time budget to make a decision. kNN is a machine learning algorithm to find clusters of similar users based on common book ratings, and make predictions using the average rating of top-k ... Apr 14, 2022 ... A movie recommendation system, or a movie recommender system, is an ML-based approach to filtering or predicting the users' film preferences based on their ... Dec 9, 2022 ... Recommendation systems (RS) suggest the right item to the right user. It predicts the user's rating to an item and based on this rating RS ...