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Recommender system with machine learning and artificial intelligence[electronic resource] :practical tools and applications in medical, agricultural and other industries /

纪录类型:	书目-电子资源 : Monograph/item
[NT 15000414] null:	025.04
[NT 47271] Title/Author:	Recommender system with machine learning and artificial intelligence : practical tools and applications in medical, agricultural and other industries // edited by Sachi Nandan Mohanty ... [et al.].
[NT 51406] other author:	Mohanty, Sachi Nandan.
出版者:	Hoboken, NJ : : John Wiley & Sons ;, 2020.
面页册数:	1 online resource.
标题:	Recommender systems (Information filtering)
标题:	Machine learning.
标题:	Artificial intelligence.
ISBN:	9781119711582
ISBN:	9781119711605
ISBN:	9781119711599
[NT 15000227] null:	Includes bibliographic references and index.
[NT 15000229] null:	"The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments"--
电子资源:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119711582

Recommender system with machine learning and artificial intelligence[electronic resource] :practical tools and applications in medical, agricultural and other industries /
Recommender system with machine learning and artificial intelligencepractical tools and applications in medical, agricultural and other industries /[electronic resource] :edited by Sachi Nandan Mohanty ... [et al.]. - 1st ed. - Hoboken, NJ :John Wiley & Sons ;2020. - 1 online resource. - Machine learning in biomedical science and healthcare informatics. - Machine learning in biomedical science and healthcare informatics..

Includes bibliographic references and index.

"The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments"--

ISBN: 9781119711582Subjects--Topical Terms:

467318
Recommender systems (Information filtering)

LC Class. No.: ZA3084

Dewey Class. No.: 025.04

Recommender system with machine learning and artificial intelligence[electronic resource] :practical tools and applications in medical, agricultural and other industries /
LDR:01786cmm a2200289 a 4500 001 524738
003 OCoLC
005 20200814214644.2
006 m o d
007 cr cnu---unuuu
008 230513s2020 nju ob 001 0 eng d
020 $a 9781119711582 $q (electronic bk. ; $q oBook)
020 $a 9781119711605 $q (ePub)
020 $a 9781119711599 $q (Adobe PDF)
020 $z 9781119711575 $q (hbk.)
035 $a 1159628189
040 $a DLC $b eng $c DLC $d DG1
050 0 0 $a ZA3084
082 0 0 $a 025.04 $2 23
245 0 0 $a Recommender system with machine learning and artificial intelligence $h [electronic resource] : $b practical tools and applications in medical, agricultural and other industries / $c edited by Sachi Nandan Mohanty ... [et al.].
250 $a 1st ed.
260 $a Hoboken, NJ : $b John Wiley & Sons ; $a Beverly, MA : $b Scrivener Publishing, $c 2020.
300 $a 1 online resource.
490 1 $a Machine learning in biomedical science and healthcare informatics
504 $a Includes bibliographic references and index.
520 $a "The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Recommender systems (Information filtering) $3 467318
650 0 $a Machine learning. $3 202931
650 0 $a Artificial intelligence. $3 172060
700 1 $a Mohanty, Sachi Nandan. $3 751906
830 0 $a Machine learning in biomedical science and healthcare informatics. $3 751907
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119711582