BriefGPT.xyz
Jan, 2021
使用模拟用户来度量推荐系统的效果
Measuring Recommender System Effects with Simulated Users
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Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee...
TL;DR
本文通过提出基于模拟框架的评估指标,研究了推荐系统中普遍存在的偏见与用户行为之间的关系,并通过经验案例研究了流行度偏见如何随时间展现。
Abstract
Imagine a food
recommender system
-- how would we check if it is \emph{causing} and fostering unhealthy eating habits or merely reflecting users' interests? How much of a user's experience over time with a recommender is caused by the
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