Michael Schrage

Recommendation Engines (eBook, ePUB)

• Format: ePub

Produktbeschreibung

How companies like Amazon, Netflix, and Spotify know what "you might also like": the history, technology, business, and societal impact of online recommendation engines. Increasingly, our technologies are giving us better, faster, smarter, and more personal advice than our own families and best friends. Amazon already knows what kind of books and household goods you like and is more than eager to recommend more; YouTube and TikTok always have another video lined up to show you; Netflix has crunched the numbers of your viewing habits to suggest whole genres that you would enjoy. In this volume in the MIT Press's Essential Knowledge series, innovation expert Michael Schrage explains the origins, technologies, business applications, and increasing societal impact of recommendation engines, the systems that allow companies worldwide to know what products, services, and experiences "you might also like."

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Produktdetails

• Verlag: MIT Press
• Seitenzahl: 264
• Erscheinungstermin: 1. September 2020
• Englisch
• ISBN-13: 9780262358781
• Artikelnr.: 58671758

Autorenporträt

Michael Schrage is a Research Fellow at the MIT Sloan School of Management's Initiative on the Digital Economy. A sought-after expert on innovation, design and network effects, he is the author of Serious Play: How the World's Best Companies Simulate to Innovate, The Innovator's Hypothesis: How Cheap Experiments Are Worth More than Good Ideas (MIT Press), and other books.

Inhaltsangabe

Series Foreword vii
Introduction ix
1 What Recommenders Are/Why Recommenders Matter 1
2 On the Origins of Recommendation 35
3 A Brief History of Recommendation Engines 63
4 How Recommenders Work 109
5 Experiencing Recommendations 149
6 Recommendation Innovators 177
7 The Recommender Future 211
Acknowledgments 241
Glossary 245
Notes 251
Further Reading 261
Index 263