What are the ongoing debates and controversies surrounding the use of recommendation systems in society?

Nov 20, 2021 ... Abstract. Deep learning has profoundly impacted many areas of machine learning. However, it took a while for its impact to be felt in the field ... In this paper, we have proposed and implemented a novel blockchain and machine learning-based drug supply chain management and recommendation system (DSCMR). Aug 9, 2023 ... We design a recommender system that suggests suitable crops for a specific land area for cultivation in the next season. May 1, 2024 ... Summer 2024: Reinforcement Learning in Recommendation Systems (Withdrawn). Affiliations: STEM EDUCATION Research Leadership. Project Leader ... Sep 15, 2016 ... ing a massive recommendation system with enormous user- facing impact. Keywords recommender system; deep learning; scalability. 1 ... This document outlines the reference architecture for two functional machine Learning (ML) retail use cases. It was developed on VMware Cloud Foundation 4.0 ... May 18, 2023 ... A portfolio recommendation system that utilizes machine learning techniques to generate profitable {portfolios for users is proposed. The system ... 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. Aug 24, 2023 ... ... machine learning models are trained to optimize item recommendations for different parts of the system. There are separate models for ... Feb 27, 2025 ... We've designed this course to expand your knowledge of recommendation systems and explain different models used in recommendation.