What are different ways to provide explanations for recommendations?

Nov 18, 2020 ... The paper presents the development and the comparison of multiple recommendation systems, capable of making item suggestions, based on user, ... This system uses different sensors for extracting data continuously regarding temperature, PH and Turbidity etc. These parameters can be analysed in real-time ... Feb 1, 2024 ... This paper tries to make a detailed overview of the existing machine learning algorithms in optimizing personalized education recommendation system. Apr 26, 2016 ... Machine Learning, Recommendation Systems, and Data Analysis at Cloud Academy ... In today's guest post, Alex Casalboni and Giacomo Marinangeli of ... Apr 3, 2024 ... What are the Top 9 Machine Learning Algorithms for Recommendation Engines? · 1) Collaborative Filtering Algorithms: · 2) Content-Based Filtering ... The proposed livestreaming e-commerce recommendation system (LERS) enhances the exploration of new items by incorporating uncertainty into neural networks. Jun 29, 2023 ... A recommender system uses artificial intelligence (AI), machine learning, and big data to suggest items a user might be interested in. Recommended Citation. Bommireddy, Durga Rajesh, "Recommendation System using machine learning for fertilizer prediction" (2024). Electronic Theses, Projects, ... ... recommendation algorithm had already been in use ... Key job responsibilities Develop machine learning algorithms for high-scale recommendations problems. A recommender system aims to suggest relevant content or products to users that might be liked or purchased by them.