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Big Data Recommender Systems: Application Paradigms, Volume 2
The Institution of Engineering and Technology, 2019 Cloth: 978-1-78561-977-9 | eISBN: 978-1-78561-978-6 Library of Congress Classification QA76.9.B45B55683 2019 Dewey Decimal Classification 005.7
ABOUT THIS BOOK | TOC
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. See other books on: Big data | Khan, Samee U. | Networking | Volume 2 | Zomaya, Albert Y. See other titles from The Institution of Engineering and Technology |
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Nearby on shelf for Mathematics / Instruments and machines / Electronic computers. Computer science:
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Big Data Recommender Systems: Application Paradigms, Volume 2
ABOUT THIS BOOK | TOC
The Institution of Engineering and Technology, 2019
Cloth: 978-1-78561-977-9
eISBN: 978-1-78561-978-6
Cloth: 978-1-78561-977-9
eISBN: 978-1-78561-978-6
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.
ABOUT THIS BOOK | TOC
