2 papers
cs.LG2025
Off-Policy Evaluation and Learning for Matching Markets
Yudai Hayashi, Shuhei Goda, Yuta Saito
Matching users based on mutual preferences is a fundamental aspect of services driven by reciprocal recommendations, such as job search and dating applications. Although A/B tests…
cs.IR2024
A Best-of-Both Approach to Improve Match Predictions and Reciprocal Recommendations for Job Search
Shuhei Goda, Yudai Hayashi, Yuta Saito
Matching users with mutual preferences is a critical aspect of services driven by reciprocal recommendations, such as job search. To produce recommendations in such scenarios, one…