How can recommendation systems be used to support sustainability and responsible consumption?

This repository contains Deep Learning based articles, papers and repositories for Recommendation Systems. A recommender system aims to suggest relevant content or products to users that might be liked or purchased by them. May 2, 2020 ... We chose to use Bayesian Networks for modeling our systems. We also present a deep-learning-based approach to provide recommendations to prospects. Sep 15, 2016 ... ing a massive recommendation system with enormous user- facing impact. Keywords recommender system; deep learning; scalability. 1 ... Content-based filtering recommends items based on the similarity in features between an item and a user preference. Individualized Machine-learning-based Clinical Assessment Recommendation System. medRxiv [Preprint]. 2024 Dec 7:2024.07.24.24310941. doi: 10.1101/2024.07. 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 ... Dec 20, 2024 ... While machine learning helps to process recommendation lists, it ... Over time, reinforcement learning ensures the algorithm learns ... Apr 3, 2024 ... What are the Top 9 Machine Learning Algorithms for Recommendation Engines? · 1) Collaborative Filtering Algorithms: · 2) Content-Based Filtering ... 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 ...