What is the trade-off between exploration and exploitation in recommendation systems?

This document outlines the reference architecture for two functional machine Learning (ML) retail use cases. It was developed on VMware Cloud Foundation 4.0 ... Mar 15, 2023 ... This survey aims to provide a timely and comprehensive overview of recent trends of deep reinforcement learning in recommender systems. 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 ... Dec 17, 2024 ... A recommendation system is an AI-powered tool that makes suggestions for relevant goods, services, or content by analyzing user data. 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 ... ... machine learning based course recommendation system for higher education students. principal component analysis (PCA) algorithm is used for feature selection. A step-by-step guide on how to build a state-of-the-art recommender system in an industrial setting. Precision farming practices with data-driven analysis and machine learning-based crop and fertiliser recommendation system. G. Vijender Reddy1*, M. Venkata ... Build a recommendation system using collaborative filtering and machine learning. There are great interests as well as many challenges in applying reinforcement learning (RL) to recommendation systems. In this setting, an online user is ...