How can recommendation systems be made more transparent and accountable?

This repository contains Deep Learning based articles, papers and repositories for Recommendation Systems. Create machine learning recommendation systems with deep learning, collaborative filtering, and Python. Aug 16, 2021 ... Driven by the automated configuration, coordination, and management of machine learning predictive analytics algorithms, the recommendation ... Aug 9, 2023 ... We design a recommender system that suggests suitable crops for a specific land area for cultivation in the next season. Mar 12, 2019 ... The use of machine learning for recommender systems is partly driven by necessity, partly by fad (at least from what I have seen). If a simple ... In this paper, we have proposed and implemented a novel blockchain and machine learning-based drug supply chain management and recommendation system (DSCMR). Mar 15, 2023 ... This survey aims to provide a timely and comprehensive overview of recent trends of deep reinforcement learning in recommender systems. 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 ... Sep 15, 2016 ... ing a massive recommendation system with enormous user- facing impact. Keywords recommender system; deep learning; scalability. 1 ... Jul 25, 2023 ... Common machine-learning models for recommendation algorithms include neural networks and k-means clustering (kNN). Keep in mind that real-time ...