Why is explainability important in recommendations?

Aug 2, 2024 ... In this article, we will dive into machine learning recommendation systems – looking into the multiple facets of the different types, real-world applications, ... Sep 17, 2019 ... Recommender systems are a underlying technology. Platforms such as salesforce and cloudsense maintain customer history data and can use recommendation ... Apr 26, 2016 ... Machine Learning, Recommendation Systems, and Data Analysis at Cloud Academy ... In today's guest post, Alex Casalboni and Giacomo Marinangeli of ... Mar 15, 2023 ... This survey aims to provide a timely and comprehensive overview of recent trends of deep reinforcement learning in recommender systems. Oct 9, 2020 ... This paper study about various techniques used in designing of recommendation system with machine learning algorithm. 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 ... 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 ... Mar 28, 2025 ... Recommendation systems use data-driven methodologies to provide users with tailored suggestions. These systems utilize user data and ... In this paper, we have proposed and implemented a novel blockchain and machine learning-based drug supply chain management and recommendation system (DSCMR). Recommended Citation. Bommireddy, Durga Rajesh, "Recommendation System using machine learning for fertilizer prediction" (2024). Electronic Theses, Projects, ...