Recommendation Engines Recommendation Engines
    • 12,99 €

Descrizione dell’editore

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."

GENERE
Professionali e tecnici
PUBBLICATO
2020
1 settembre
LINGUA
EN
Inglese
PAGINE
296
EDITORE
MIT Press
DATI DEL FORNITORE
Random House, LLC
DIMENSIONE
929
KB
Who Do You Want Your Customers to Become? Who Do You Want Your Customers to Become?
2012
The Innovator's Hypothesis The Innovator's Hypothesis
2014
Machine Learning, revised and updated edition Machine Learning, revised and updated edition
2021
Cybersecurity Cybersecurity
2021
Algorithms Algorithms
2020
Artificial General Intelligence Artificial General Intelligence
2024
Computational Thinking Computational Thinking
2019
Phenomenology Phenomenology
2020
Post-Truth Post-Truth
2018
Behavioral Insights Behavioral Insights
2020
Critical Thinking Critical Thinking
2020
AI Ethics AI Ethics
2020
Synesthesia Synesthesia
2018
Data Science Data Science
2018