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Recommendation Engines (The MIT Press Essential Knowledge series) by Michael Schrage is a nonfiction available to read on EtoBox.

What is Recommendation Engines (The MIT Press Essential Knowledge series) about?

"How does Netflix know just what to suggest you watch next? How does Amazon determine what a "customer like you" has also purchased? The answer is recommender systems, the technological concept that lies at the heart of most of the successful companies in the digital economy. Michael Schrage starts with the origins of recommender systems, which go back further than you think (see: the Oracle at Delphi for one of history's earliest recommenders), and a history of the first companies to harness recommendations. He then discusses the technology behind how recommenders work: the AI and machine learning algorithms that power these recommender platforms. Next he discusses the role of user experience, and how recommender systems are designed, and how design choices function as nudges to make certain recommendations more salient than others. He explores three case studies: Spotify, Bytedance, and Stitch Fix, looking at how recommenders can create new business solutions and how algorithms can go beyond curation to content creation. The concluding chapter on the future of recommender systems is perhaps the most enlightening. Moving away from technology and business, Schrage embraces the phil

Who reads Recommendation Engines (The MIT Press Essential Knowledge series)?

Author

Michael Schrage

Publisher

<<The>> MIT Press

Published

2020

Language

EN

ISBN

9780262358798

Category

nonfiction

Subjects

Engineering, Philosophy, Computer Science

Rating

4.4 / 5 (87 ratings)

Updated

2026-03-14