activity
20192026
most citedMatching Theory-based Recommender Systems in Online Dating

8 citations · 24 across the 11 of their papers we have counts for

collaborators

11 papers

econ.GN2026

Daycare Matching with Siblings: Social Implementation and Welfare Evaluation

Kan Kuno, Daisuke Moriwaki, Yoshihiro Takenami

In centralized matching markets, agents may value joint assignment, as with siblings or couples. Standard preference estimation ignores such complementarities, complicating welfare…

cs.LG2025

Latent Variable Modeling for Robust Causal Effect Estimation

Tetsuro Morimura, Tatsushi Oka, Yugo Suzuki +1

Latent variable models provide a powerful framework for incorporating and inferring unobserved factors in observational data. In causal inference, they help account for hidden fact…

cs.GT2024

Stable Matchings in Practice: A Constraint Programming Approach

Zhaohong Sun, Naoyuki Yamada, Yoshihiro Takenami +2

We study a practical two-sided matching problem of allocating children to daycare centers, which has significant social implications. We are cooperating with several municipalities…

cs.GT2022

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…

cs.IR2022★ 8 cited

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.…

cs.IR2022★ 4 cited

A Real-World Implementation of Unbiased Lift-based Bidding System

Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui +3

In display ad auctions of Real-Time Bid-ding (RTB), a typical Demand-Side Platform (DSP)bids based on the predicted probability of click and conversion right after an ad impression…