Big Data Recommender Systems: Application Paradigms, Volume 2
edited by Osman Khalid, Samee U. Khan and Albert Y. Zomaya
The Institution of Engineering and Technology, 2019
Cloth: 978-1-78561-977-9 | eISBN: 978-1-83724-780-6 (ePub) | eISBN: 978-1-78561-978-6 (PDF)
Library of Congress Classification QA76.9.B45B55683 2019
Dewey Decimal Classification 5.7
ABOUT THIS BOOK
First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users’ data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges.
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