How can fairness be ensured in recommendation systems?

Nov 18, 2020 ... The paper presents the development and the comparison of multiple recommendation systems, capable of making item suggestions, based on user, ... Feb 13, 2023 ... The proposed collaborative filtering (CF) method categorizes active learners into one learner group. The proposed model has experimented on ... Jan 19, 2023 ... How Netflix Utilizes Machine Learning in its Recommendation System ... Netflix uses machine learning techniques, including matrix factorization, ... Jun 2, 2023 ... Deep learning is a machine learning algorithm that uses a multi-layer structure to learn and extract high-level features from raw data ... Aug 9, 2023 ... We design a recommender system that suggests suitable crops for a specific land area for cultivation in the next season. Nov 24, 2023 ... This article presents a recommended intelligent HRS using the deep learning system of the Restricted Boltzmann Machine (RBM)-Coevolutionary Neural Network (CNN) Mar 29, 2022 ... Tutorial: Reinforcement learning for recommender systems ... Hands-on tutorial on RL and RLlib for building recommendation systems. In this 2-hour ... By leveraging the unsupervised Doc2Vec model trained on document-structured intrinsic MOF characteristics, the model embeds MOFs into a high-dimensional ... Recommended Citation. Bommireddy, Durga Rajesh, "Recommendation System using machine learning for fertilizer prediction" (2024). Electronic Theses, Projects, ... Jul 25, 2023 ... Common machine-learning models for recommendation algorithms include neural networks and k-means clustering (kNN). Keep in mind that real-time ...