Modeling recommender systems as control systems shows that time-optimized fairness interventions can improve overall long-term performance rather than merely trading off against utility.
Group fairness for content creators: the role of human and algorithmic biases under popularity-based recommendations
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Information retrieval can empower socially responsible consumerism by reducing information asymmetries, supporting complex ethical searches, and calibrating consumer knowledge during product decisions.
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Recommender Systems as Control Systems
Modeling recommender systems as control systems shows that time-optimized fairness interventions can improve overall long-term performance rather than merely trading off against utility.
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From Query to Conscience: The Importance of Information Retrieval in Empowering Socially Responsible Consumerism
Information retrieval can empower socially responsible consumerism by reducing information asymmetries, supporting complex ethical searches, and calibrating consumer knowledge during product decisions.