Big Data Recommender Systems Volume 2: Application...

Big Data Recommender Systems Volume 2: Application Paradigms

Osman Khalid, Samee U. Khan, Albert Y. Zomaya
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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.


Divided into two
volumes, this comprehensive set covers recent advances, challenges,
novel solutions, and applications in big data recommender systems.
Volume 2 covers a broad range of application paradigms for recommender
systems over 22 chapters. Volume 1 contains 14 chapters addressing
foundations, algorithms and architectures, approaches for big data, and
trust and security measures.

سب زمرہ:
جلد:
2
سال:
2019
ناشر کتب:
IET
زبان:
english
صفحات:
520
ISBN 10:
1785619772
ISBN 13:
9781785619779
فائل:
PDF, 16.13 MB
IPFS:
CID , CID Blake2b
english, 2019
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