【 1 月 21 日 CRETA Seminar】

日期：2022 年 1 月 21 日 (週五) 下午 1:00~2:00

講者：謝鈺偉博士

演講主題：

線上交友實證研究

講題摘要：

Leading recommender systems may recommend only a small fraction of users on the dating platform since the algorithms often exploit popularity and similarity that reinforce preference homogeneity and assortative mating in the marriage market. We apply a stylized matching model in economics to the existing algorithms to reduce inequality, and we evaluate the proposed method by a large-scale field experiment through a dating app. Experiment results suggest that our recommender reduces inequality, improves predictive accuracy, and leads to substantially more matched couples than other competing algorithms.

1. 顏值, 身高, 教育程度, 哪個在婚姻市場比較重要?
2. 經濟理論和機器學習, 哪個能幫你找到另一半?

報名網址：

https://www.creta.org.tw/?news_2=274