3 papers
cs.IR2026
MODE: Mutual Optimality in Direct Effects of Reciprocal Recommendations in Matching Markets
Yoji Tomita
Matching platforms such as job posting services and online dating platforms have become widely used over the past decade. For a matching platform to be successful, it is crucial to…
cs.LG2026
Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided Matching
Ren Kishimoto, Rikiya Takehi, Koichi Tanaka +4
On two-sided matching platforms such as online dating and recruiting, recommendation algorithms often aim to maximize the total number of matches. However, this objective creates a…
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…