What is normalized discounted cumulative gain (NDCG)?

Mar 28, 2025 ... Recommendation systems use data-driven methodologies to provide users with tailored suggestions. These systems utilize user data and ... kNN is a machine learning algorithm to find clusters of similar users based on common book ratings, and make predictions using the average rating of top-k ... Jun 17, 2020 ... Recommender System with Machine Learning and Artificial Intelligence: Practical Tools and Applications in Medical, Agricultural and Other ... Apr 17, 2023 ... Recommender systems, also known as recommendation systems, are machine learning algorithms that use data to recommend items or content to users ... 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 ... There are great interests as well as many challenges in applying reinforcement learning (RL) to recommendation systems. In this setting, an online user is ... Precision farming practices with data-driven analysis and machine learning-based crop and fertiliser recommendation system. G. Vijender Reddy1*, M. Venkata ... Oct 9, 2020 ... This paper study about various techniques used in designing of recommendation system with machine learning algorithm. Jan 15, 2021 ... However, a new trend has emerged in the field since the introduction of deep reinforcement learning (DRL), which made it possible to apply RL to ... Aug 22, 2017 ... Netflix uses machine learning and algorithms to help break viewers' preconceived notions and find shows that they might not have initially chosen.