Multi-stakeholder Algorithms

This research addresses the complex dynamics of systems serving multiple stakeholders with potentially conflicting interests, such as consumers and producers in marketplaces. Key contributions include developing relevance and ranking algorithms for online dating systems that consider two-sided relevance and subjective preferences. The work extends to recommendation systems that balance consumer satisfaction with fair exposure for content producers, using multi-objective optimization frameworks with Pareto optimality guarantees.