Recommendation Engines
$43.96
- Paperback
296 pages
- Release Date
17 November 2020
Summary
How companies like Amazon and Netflix know what “you might also like”: the history, technology, business, and social 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 crunch…
Book Details
| ISBN-13: | 9780262539074 |
|---|---|
| ISBN-10: | 0262539071 |
| Author: | Michael Schrage |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Paperback |
| Number of Pages: | 296 |
| Release Date: | 17 November 2020 |
| Weight: | 278g |
| Dimensions: | 127mm x 178mm |
| Series: | The MIT Press Essential Knowledge |
Critics Review
“Recommendation Engines is an eye-opener to readers who […] find the ubiquitous “what people like you bought” suggestions of online merchants faintly intrusive and only occasionally useful.”
—Strategy and Business
Michael Schrage
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.
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