8 citations · 8 across the 7 of their papers we have counts for
7 papers
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…
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…
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…
Fair Reciprocal Recommendation in Matching Markets
Yoji Tomita, Tomohiki Yokoyama
Recommender systems play an increasingly crucial role in shaping people's opportunities, particularly in online dating platforms. It is essential from the user's perspective to inc…
Fast and Examination-agnostic Reciprocal Recommendation in Matching Markets
Yoji Tomita, Riku Togashi, Yuriko Hashizume +1
In matching markets such as job posting and online dating platforms, the recommender system plays a critical role in the success of the platform. Unlike standard recommender system…
Daycare Matching in Japan: Transfers and Siblings
Zhaohong Sun, Yoshihiro Takenami, Daisuke Moriwaki +2
In this paper, we study a daycare matching problem in Japan and report the design and implementation of a new centralized algorithm, which is going to be deployed in one municipali…
Matching Theory-based Recommender Systems in Online Dating
Yoji Tomita, Riku Togashi, Daisuke Moriwaki
Online dating platforms provide people with the opportunity to find a partner. Recommender systems in online dating platforms suggest one side of users to the other side of users.…