Practical Recommender Systems
Author:by Kim Falk (Author)
Publisher finelybook 出版社:Manning
Edition 版本:First Edition
Publication Date 出版日期:2019-02-2
Language 语言:English
Print Length 页数:432pages
ISBN-10:1617292702
ISBN-13:9781617292705
Book Description
Review
“Covers the technical background and demonstrates implementations in clear and concise Python code.”
-Andrew Collier, Exegetic
“Have you wondered how Amazon and Netflix learn your tastes in products and movies, and provide relevant recommendations? This book explains how it’s done!” -Amit Lamba, Tech Overture
“Everything about recommender systems, from entry-level to advanced concepts” -Jaromir D.B. Němec, DB “A great and practical deep dive into recommender systems!”-Peter Hampton, Ulster University
-Andrew Collier, Exegetic
“Have you wondered how Amazon and Netflix learn your tastes in products and movies, and provide relevant recommendations? This book explains how it’s done!” -Amit Lamba, Tech Overture
“Everything about recommender systems, from entry-level to advanced concepts” -Jaromir D.B. Němec, DB “A great and practical deep dive into recommender systems!”-Peter Hampton, Ulster University
About the Author
Kim Falk is a Data Scientist at Adform, where he is working on recommender systems. He has experience in providing recommendations for large entertainment companies and working with big data solutions.
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PDF, EPUB | 28 MB | 2019-12-05
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