How can the transparency and interpretability of recommendation systems be improved through better data governance and model documentation?

Mar 4, 2024 ... Machine Learning-Enabled Recommendations for the Air Force Officer Assignment System. Volume 5. Avery Calkins, Monique Graham, Claude Messan ... The future of personalization and product recommendations will be heavily shaped by deep learning (DL) and its ability to predict the next natural item or ... Apr 17, 2023 ... Recommender systems, also known as recommendation systems, are machine learning algorithms that use data to recommend items or content to users ... Feb 1, 2021 ... Recommendation systems, or recommender systems, are systems that make suggestions related to search history, customer profiles and inventory ... Mar 15, 2023 ... This survey aims to provide a timely and comprehensive overview of recent trends of deep reinforcement learning in recommender systems. Content-based filtering recommends items based on the similarity in features between an item and a user preference. Oct 8, 2020 ... How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems. LinkedIn uses some very innovative machine learning techniques to ... This system uses different sensors for extracting data continuously regarding temperature, PH and Turbidity etc. These parameters can be analysed in real-time ... Modern recommendation systems such as those used on large social media sites, make extensive use of AI, machine learning and related techniques to learn the ... Jan 6, 2021 ... A model is developed to recommend tools using a deep learning approach by analysing workflows composed by researchers on the European Galaxy server.