How can bias be mitigated in recommendation systems?

Jun 19, 2024 ... Recommendation systems rely on big data analytics and machine learning (ML) algorithms to find patterns in user behavior data and recommend ... Deep learning has profoundly impacted many areas of machine learning. However, it took a while for its impact to be felt in the field of recommender systems. In ... Aug 28, 2020 ... IMF Working Papers. Intelligent Export Diversification: An Export Recommendation System with Machine Learning. By Natasha X Che. August ... Dec 17, 2024 ... A recommendation system is an AI-powered tool that makes suggestions for relevant goods, services, or content by analyzing user data. May 1, 2024 ... Summer 2024: Reinforcement Learning in Recommendation Systems (Withdrawn). Affiliations: STEM EDUCATION Research Leadership. Project Leader ... Dec 20, 2023 ... Design a video recommendation system that presents recommendations on a homepage like YouTube to increase engagement. Apr 27, 2023 ... A recommendation system is a type of machine learning system that provides personalized recommendations to users based on their past behaviors, preferences, ... We evaluate our query by humming system using the standard MIREX QBSH dataset. We also propose a similar artist recommendation system which recommends similar ... Dec 9, 2022 ... Recommendation systems (RS) suggest the right item to the right user. It predicts the user's rating to an item and based on this rating RS ... In this paper, we have proposed and implemented a novel blockchain and machine learning-based drug supply chain management and recommendation system (DSCMR).