Recommendation Engines
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Product Details
Author:
Michael Schrage
Series:
The MIT Press Essential Knowledge series
Format:
Paperback
Pages:
296
Publisher:
MIT Press (September 1, 2020)
Language:
English
ISBN-13:
9780262539074
ISBN-10:
0262539071
Weight:
8.2oz
Dimensions:
5.06" x 7" x 0.82"
Case Pack:
50
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260405T171753_155746878-20260405.xml
Folder:
RandomHouse
List Price:
$18.95
As low as:
$14.59
Publisher Identifier:
P-RH
Discount Code:
A
QuickShip:
Yes
Audience:
General/trade
Country of Origin:
United States
Pub Discount:
65
Imprint:
The MIT Press
Overview
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 eager to recommend more; 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."
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 eager to recommend more; 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."
