Recommendation engines

Schrage, Michael

Recommendation engines - Cambridge MIT Press 2020 - 275p. - The MIT Press Essential Knowledge Series .

1. What recommenders are/why recommenders matter 2. On the origins of recommendation 3. A brief history of recommendation engines 4. How recommenders work 5. Experiencing recommendations 6. Recommendation innovators 7. The Recommender future

In this book, the author discusses the origins, technologies, business applications, and societal impact of recommendation engines. The author traces the history of recommendation, discusses their academic origins and commercial evolution, and highlights user experience design challenges. The author also discusses case studies of Spotify, TikTok, and Stitch Fix. He questions whether technological recommenders will leave us disappointed or help us discover the world and ourselves in novel ways.

9780262539074


Recommender Systems (Information Filtering)

025.04 / SCH

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