What are the ethical considerations related to explainable AI in recommendation systems?

Jun 2, 2023 ... Deep learning is a machine learning algorithm that uses a multi-layer structure to learn and extract high-level features from raw data ... Sep 17, 2019 ... Recommender systems are a underlying technology. Platforms such as salesforce and cloudsense maintain customer history data and can use recommendation ... Apr 19, 2021 ... I developed a game recommendation system model. It was an extremely complex development for me, as I am still gaining experience and knowledge in Machine ... 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 ... Aug 24, 2023 ... ... machine learning models are trained to optimize item recommendations for different parts of the system. There are separate models for ... Jan 15, 2021 ... However, a new trend has emerged in the field since the introduction of deep reinforcement learning (DRL), which made it possible to apply RL to ... Apr 22, 2025 ... Recommendation engines in this category rely on machine learning algorithms, such as clustering models, regression, user-based k-nearest ... Jul 11, 2024 ... Today's recommender systems from leading companies like Amazon, Google, Rakuten, TikTok, and others are highly sophisticated models powered by ... A recommender system aims to suggest relevant content or products to users that might be liked or purchased by them. Oct 8, 2020 ... How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems. LinkedIn uses some very innovative machine learning techniques to ...