How can the scalability and performance of recommendation systems be optimized for very large user bases and item catalogs?

This document outlines the reference architecture for two functional machine Learning (ML) retail use cases. It was developed on VMware Cloud Foundation 4.0 ... Explore and run machine learning code with Kaggle Notebooks | Using data from Articles sharing and reading from CI&T DeskDrop. Apr 10, 2024 ... Hello everyone, In the course “Machine Learning Specialization” Andrew mentions that we can build deep-learning recommendation systems, ... A hierarchical Bayesian model called collaborative deep learning (CDL), which jointly performs deep representation learning for the content information and ... Sep 17, 2019 ... Recommender systems are a underlying technology. Platforms such as salesforce and cloudsense maintain customer history data and can use recommendation ... The proposed livestreaming e-commerce recommendation system (LERS) enhances the exploration of new items by incorporating uncertainty into neural networks. 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 ... Precision farming practices with data-driven analysis and machine learning-based crop and fertiliser recommendation system. G. Vijender Reddy1*, M. Venkata ... May 18, 2023 ... A portfolio recommendation system that utilizes machine learning techniques to generate profitable {portfolios for users is proposed. The system ... Recommender Systems: University of Minnesota · Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI · Machine Learning: DeepLearning.AI ...