CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems
Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo
2022Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval110 citationsDOI
Abstract
Recently, there has been a rising awareness that when machine learning (ML) algorithms are used to automate choices, they may treat/affect individuals unfairly, with legal, ethical, or economic consequences. Recommender systems are prominent examples of such ML systems that assist users in making high-stakes judgments.
Topics & Concepts
Recommender systemComputer scienceRanking (information retrieval)Affect (linguistics)Artificial intelligenceMachine learningPsychologyCommunicationRecommender Systems and TechniquesEthics and Social Impacts of AIMobile Crowdsensing and Crowdsourcing