How can cultural biases in data be identified and mitigated in recommendation algorithms?

Content-based Recommendation Systems (CbRS) is a research area in which Machine Learning (ML) strategies can be applied with success. 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 28, 2020 ... IMF Working Papers. Intelligent Export Diversification: An Export Recommendation System with Machine Learning. By Natasha X Che. August ... Help people discover new products and content with deep learning, neural networks, and machine learning recommendations. May 3, 2022 ... Model-based systems use various data mining and machine learning algorithms to develop a model for predicting the user's rating for an unrated ... Oct 8, 2020 ... How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems. LinkedIn uses some very innovative machine learning techniques to ... Aug 24, 2023 ... ... machine learning models are trained to optimize item recommendations for different parts of the system. There are separate models for ... 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 ... Apr 14, 2022 ... A movie recommendation system, or a movie recommender system, is an ML-based approach to filtering or predicting the users' film preferences based on their ... Jul 25, 2023 ... Common machine-learning models for recommendation algorithms include neural networks and k-means clustering (kNN). Keep in mind that real-time ...