TY  - BOOK
AU  - Schrage, Michael
TI  - Recommendation engines
SN  - 9780262539074
U1  - 025.04 
PY  - 2020///
CY  - Cambridge
PB  - MIT Press
KW  - Recommender Systems (Information Filtering)
N1  - 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
N2  - 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
ER  -