How the internet tells us what music to like, what books to read and what to buy



Recommender systems are everywhere online when browsing for books, movies, music, clothes, news, even dates. Sites like Amazon, Netflix, and Pandora use them to make suggestions to customers, hoping to steer them to things they might like. But some people worry these systems end up pigeon-holing people, narrowing what we consume and shaping our taste. Today we look at hyper-personalization online and the effect these preference programs are having on us. Marty talks with guest KARTIK HOSANAGAR, Associate Professor of Internet Commerce at The Wharton School of the University of Pennsylvania and CLAYTON CRITCHER, Assistant Professor of marketing, cognitive science and psychology at the University of California, Berkeley’s Haas School of Business.

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