3 papers
cs.IR2026
Balancing Fairness and High Match Rates in Reciprocal Recommender Systems: A Nash Social Welfare Approach
Yoji Tomita, Tomohiko Yokoyama
Matching platforms, such as online dating services and job recommendations, have become increasingly prevalent. For the success of these platforms, it is crucial to design reciproc…
cs.GT2025
Asymptotic Analysis of Weighted Fair Division
Pasin Manurangsi, Warut Suksompong, Tomohiko Yokoyama
Several resource allocation settings involve agents with unequal entitlements represented by weights. We analyze weighted fair division from an asymptotic perspective: if items…
cs.GT2025
Probabilistic Analysis of Stable Matching in Large Markets with Siblings
Zhaohong Sun, Tomohiko Yokoyama, Makoto Yokoo
We study a practical centralized matching problem which assigns children to daycare centers. The collective preferences of siblings from the same family introduce complementarities…