What are the current trends and future directions in recommendation systems research and development?

This document outlines the reference architecture for two functional machine Learning (ML) retail use cases. It was developed on VMware Cloud Foundation 4.0 ... ... machine learning based course recommendation system for higher education students. principal component analysis (PCA) algorithm is used for feature selection. Jun 17, 2020 ... Recommender System with Machine Learning and Artificial Intelligence: Practical Tools and Applications in Medical, Agricultural and Other ... 3 days ago ... Gained familiarity with various machine learning algorithms used in recommendation systems, such as matrix factorization and deep learning ... Dec 31, 2022 ... The main goal of this proposal is to develop a system for recommending skincare products based on the user's skin type and the makeup of the ... Help people discover new products and content with deep learning, neural networks, and machine learning recommendations. ... recommendation algorithm had already been in use ... Key job responsibilities Develop machine learning algorithms for high-scale recommendations problems. Nov 20, 2021 ... Abstract. Deep learning has profoundly impacted many areas of machine learning. However, it took a while for its impact to be felt in the field ... Feb 13, 2023 ... The proposed collaborative filtering (CF) method categorizes active learners into one learner group. The proposed model has experimented on ... Aug 24, 2023 ... ... machine learning models are trained to optimize item recommendations for different parts of the system. There are separate models for ...