To Recommend or Not? A Model-Based Comparison of Item-Matching Processes

Recommender systems are central to modern online platforms, but a popular concern is that they may be pulling society in dangerous directions (e.g., towards filter bubbles). However, a challenge with measuring the effects of recommender systems is how to compare user outcomes under these systems to...

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Bibliographische Detailangaben

Hauptverfasser:	Chang, Serina, Ugander, Johan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computers and Society
Online-Zugang:	Volltext bestellen
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