Big data recommender systems. Volume 2, Application paradigms /

The increase in the volumes of data creates new challenges that require novel and more efficient solutions to handle big data and scalability issues. Today we are witnessing advances in many areas that are dependent on recommender systems such as social networks, e-commerce websites, search engines,...

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Bibliographic Details
Other Authors: Khalid, Osman, (Editor), Khan, Samee Ullah, (Editor), Zomaya, Albert Y., (Editor)
Format: eBook
Language: English
Published: Stevenage : IET, 2019.
Series: Professional applications of computing series ; 35.
Subjects:
Recommender systems (Information filtering)
Big data.
elektronické knihy
electronic books
ISBN: 9781785619786
1785619780
1523127252
9781523127252
9781785619779
1785619772
Physical Description: 1 online resource (536 pages)

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Table of contents

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040 |a STF  |b eng  |e pn  |c STF  |d UIU  |d CUS  |d OCLCF  |d YDX  |d CDN  |d UKAHL  |d OCL  |d EBLCP  |d OCLCQ  |d DST  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCL 
020 |a 9781785619786  |q (electronic bk.) 
020 |a 1785619780  |q (electronic bk.) 
020 |a 1523127252 
020 |a 9781523127252 
020 |z 9781785619779  |q (print) 
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035 |a (OCoLC)1112090692  |z (OCoLC)1135669916  |z (OCoLC)1300473276 
245 0 0 |a Big data recommender systems.  |n Volume 2,  |p Application paradigms /  |c edited by Osman Khalid, Samee U. Khan and Albert Y. Zomaya. 
264 1 |a Stevenage :  |b IET,  |c 2019. 
264 4 |c ©2019 
300 |a 1 online resource (536 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a IET Professional Applications of Computing Series ;  |v 35 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a The increase in the volumes of data creates new challenges that require novel and more efficient solutions to handle big data and scalability issues. Today we are witnessing advances in many areas that are dependent on recommender systems such as social networks, e-commerce websites, search engines, blogs, and sensor networks. Many of these advances are due to the many developments in algorithmics and analytics, wireless networking, Internet of things, high performance computing, and more. Volume 2, Big Data Recommender Systems: Application Paradigms, presents a good overview of the many applications that show the richness of this field and its great potential. 
504 |a Includes bibliographical references and index. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Recommender systems (Information filtering) 
650 0 |a Big data. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Khalid, Osman,  |e editor. 
700 1 |a Khan, Samee Ullah,  |e editor. 
700 1 |a Zomaya, Albert Y.,  |e editor. 
776 0 8 |i Print version:  |t Big data recommender systems, volume 2.  |d Stevenage: IET, 2019  |z 9781785619779 
830 0 |a Professional applications of computing series ;  |v 35. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpBDRSVAP1/big-data-recommender?kpromoter=marc  |y Full text 

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