Making sense of recommendations
Volume: 32, Issue: 4, Pages: 403 - 414
Published: Feb 14, 2019
Abstract
Computer algorithms are increasingly being used to predict people's preferences and make recommendations. Although people frequently encounter these algorithms because they are cheap to scale, we do not know how they compare to human judgment. Here, we compare computer recommender systems to human recommenders in a domain that affords humans many advantages: predicting which jokes people will find funny. We find that recommender systems...
Paper Details
Title
Making sense of recommendations
Published Date
Feb 14, 2019
Volume
32
Issue
4
Pages
403 - 414
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