What are the different levels of explainability, from feature importance to counterfactual explanations?

... machine learning based course recommendation system for higher education students. principal component analysis (PCA) algorithm is used for feature selection. Apr 21, 2021 ... “The function of a machine learning system can be descriptive ... recommendations are fueled by machine learning. “[The algorithms] are ... Most of these existing systems are user-based ratings where content-based and collaborative-based learning methods are used. These systems' irrationality is ... Aug 16, 2021 ... Driven by the automated configuration, coordination, and management of machine learning predictive analytics algorithms, the recommendation ... Apr 17, 2023 ... Recommender systems, also known as recommendation systems, are machine learning algorithms that use data to recommend items or content to users ... Aug 24, 2023 ... ... machine learning models are trained to optimize item recommendations for different parts of the system. There are separate models for ... A recommendation system (or recommender system) is a class of machine learning that uses data to help predict, narrow down, and find what people are looking ... May 1, 2024 ... Summer 2024: Reinforcement Learning in Recommendation Systems (Withdrawn). Affiliations: STEM EDUCATION Research Leadership. Project Leader ... Aug 22, 2017 ... Netflix uses machine learning and algorithms to help break viewers' preconceived notions and find shows that they might not have initially chosen. Nov 2, 2016 ... My answer would be that while a recommendation system can use supervised or unsupervised learning, it is neither of them, because it's a concept at a different ...