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Recommender systems[electronic resource] :advanced developments /

纪录类型:	书目-电子资源 : Monograph/item
[NT 15000414] null:	006.33
[NT 47271] Title/Author:	Recommender systems : advanced developments // Jie Lu, Qian Zhang, Guangquan Zhang.
作者:	Lu, Jie.
[NT 51406] other author:	Zhang, Qian.
出版者:	Singapore : : World Scientific,, c2021.
面页册数:	1 online resource (xxii, 339 p.)
标题:	Recommender systems (Information filtering)
标题:	Personal communication service systems.
ISBN:	9789811224638
ISBN:	9789811224645
[NT 15000228] null:	Recommender systems : introduction. Recommender system concepts. Basic recommendation methods. Recommender system applications -- Recommender systems : methods and algorithms. Social network-based recommender systems. Tag-aware recommender systems. Fuzzy technique-enhanced recommender systems. Tree similarity-based recommender systems. Group recommender systems. Cross-domain recommender systems. User preference drift-aware recommender systems. Visualization in recommender systems -- Recommender systems : software and applications. Telecom products/services recommender systems. Recommender system for small and medium-sized businesses finding business partners. Recommender system for personalized e-learning. Recommender system for real estate property investment.
[NT 15000229] null:	"Recommender systems provide users (businesses or individuals) with personalized online recommendations of products or information, to address the problem of information overload and improve personalized services. Recent successful applications of recommender systems are providing solutions to transform online services for e-government, e-business, e-commerce, e-shopping, e-library, e-learning, e-tourism, and more. This unique compendium not only describes theoretical research but also reports on new application developments, prototypes, and real-world case studies of recommender systems. The comprehensive volume provides readers with a timely snapshot of how new recommendation methods and algorithms can overcome challenging issues. Furthermore, the monograph systematically presents three dimensions of recommender systems - basic recommender system concepts, advanced recommender system methods, and real-world recommender system applications. By providing state-of-the-art knowledge, this excellent reference text will immensely benefit researchers, managers, and professionals in business, government, and education to understand the concepts, methods, algorithms and application developments in recommender systems"--Publisher's website.
电子资源:	https://www.worldscientific.com/worldscibooks/10.1142/11947#t=toc

Recommender systems[electronic resource] :advanced developments /
Lu, Jie.

Recommender systemsadvanced developments /[electronic resource] :Jie Lu, Qian Zhang, Guangquan Zhang. - 1st ed. - Singapore :World Scientific,c2021. - 1 online resource (xxii, 339 p.) - Intelligent information systems ;v. 6. - Intelligent information systems ;v. 3..

Recommender systems : introduction. Recommender system concepts. Basic recommendation methods. Recommender system applications -- Recommender systems : methods and algorithms. Social network-based recommender systems. Tag-aware recommender systems. Fuzzy technique-enhanced recommender systems. Tree similarity-based recommender systems. Group recommender systems. Cross-domain recommender systems. User preference drift-aware recommender systems. Visualization in recommender systems -- Recommender systems : software and applications. Telecom products/services recommender systems. Recommender system for small and medium-sized businesses finding business partners. Recommender system for personalized e-learning. Recommender system for real estate property investment.

"Recommender systems provide users (businesses or individuals) with personalized online recommendations of products or information, to address the problem of information overload and improve personalized services. Recent successful applications of recommender systems are providing solutions to transform online services for e-government, e-business, e-commerce, e-shopping, e-library, e-learning, e-tourism, and more. This unique compendium not only describes theoretical research but also reports on new application developments, prototypes, and real-world case studies of recommender systems. The comprehensive volume provides readers with a timely snapshot of how new recommendation methods and algorithms can overcome challenging issues. Furthermore, the monograph systematically presents three dimensions of recommender systems - basic recommender system concepts, advanced recommender system methods, and real-world recommender system applications. By providing state-of-the-art knowledge, this excellent reference text will immensely benefit researchers, managers, and professionals in business, government, and education to understand the concepts, methods, algorithms and application developments in recommender systems"--Publisher's website.

Mode of access: World Wide Web.

ISBN: 9789811224638Subjects--Topical Terms:

467318
Recommender systems (Information filtering)

LC Class. No.: TK5103.485 / .L8 2021

Dewey Class. No.: 006.33

Recommender systems[electronic resource] :advanced developments /
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505 0 $a Recommender systems : introduction. Recommender system concepts. Basic recommendation methods. Recommender system applications -- Recommender systems : methods and algorithms. Social network-based recommender systems. Tag-aware recommender systems. Fuzzy technique-enhanced recommender systems. Tree similarity-based recommender systems. Group recommender systems. Cross-domain recommender systems. User preference drift-aware recommender systems. Visualization in recommender systems -- Recommender systems : software and applications. Telecom products/services recommender systems. Recommender system for small and medium-sized businesses finding business partners. Recommender system for personalized e-learning. Recommender system for real estate property investment.
520 $a "Recommender systems provide users (businesses or individuals) with personalized online recommendations of products or information, to address the problem of information overload and improve personalized services. Recent successful applications of recommender systems are providing solutions to transform online services for e-government, e-business, e-commerce, e-shopping, e-library, e-learning, e-tourism, and more. This unique compendium not only describes theoretical research but also reports on new application developments, prototypes, and real-world case studies of recommender systems. The comprehensive volume provides readers with a timely snapshot of how new recommendation methods and algorithms can overcome challenging issues. Furthermore, the monograph systematically presents three dimensions of recommender systems - basic recommender system concepts, advanced recommender system methods, and real-world recommender system applications. By providing state-of-the-art knowledge, this excellent reference text will immensely benefit researchers, managers, and professionals in business, government, and education to understand the concepts, methods, algorithms and application developments in recommender systems"--Publisher's website.
538 $a Mode of access: World Wide Web.
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588 $a Description based on print version record.
650 0 $a Recommender systems (Information filtering) $3 467318
650 0 $a Personal communication service systems. $3 467317
700 1 $a Zhang, Qian. $3 588764
700 1 $a Zhang, Guangquan. $3 469194
830 0 $a Intelligent information systems ; $v v. 3. $3 489781
856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/11947#t=toc