Recommendation engines

By:

Schrage, Michael

Material type: Text

TextSeries: The MIT Press Essential Knowledge SeriesPublication details: MIT Press 2020 CambridgeDescription: 275pISBN:

9780262539074

Subject(s):

Recommender Systems (Information Filtering)

DDC classification:

025.04 SCH

Summary: 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.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Jammu General Stacks	Non-fiction	025.04 SCH (Browse shelf(Opens below))	Available		IIMJ-9375

Total holds: 0

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.

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