Vol. 42 No. 3: Fall 2021

Recommender Systems, by James Gary

Published: 2021-11-20

Special Topic Articles

Recommender Systems: Past, Present, Future

Dietmar Jannach, Pearl Pu, Francesco Ricci, Markus Zanker

3-6
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Deep Learning for Recommender Systems: A Netflix Case Study

Harald Steck, Linas Baltrunas, Ehtsham Elahi, Dawen Liang, Yves Raimond, Justin Basilico

7-18
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Recommendations as Treatments

Thorsten Joachims, Ben London, Yi Su, Adith Swaminathan, Lequn Wang

19-30
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Human-Centered Recommender Systems: Origins, Advances, Challenges, and Opportunities

Joseph A. Konstan, Loren G. Terveen

31-42
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Progress in Recommender Systems Research: Crisis? What Crisis?

Paolo Cremonesi, Dietmar Jannach

43-54
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Recommending News in Traditional Media Companies

Jon Atle Gulla, Rolf Dyrnes Svendsen, Lemei Zhang, Agnes Stenbom, Jørgen Frøland

55-69
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Competition Reports

Summary Report for the Third International Competition On Computational Models of Argumentation

Stefano Bistarelli, Lars Kotthoﬀ, Francesco Santini , Carlo Taticchi

70-73
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Columns

Betting on Bets

Chris Welty, Praveen Paritosh, Kurt Bollacker

74-76
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Engagement during Pandemic Teaching: Report of The Eaai-21 Panel on Teaching Online and Blended AI Courses

Michael Wollowski

77-78
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Editorials

Letter from the Editors: AI Magazine in the New Era of AI

K. Brent Venable, Odd Erik Gundersen

79-80
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