Central Library

Recommender systems (Record no. 97776)

000 -LEADER
fixed length control field 03373nam a2200373 a 4500
001 - CONTROL NUMBER
control field 00011947
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200807s2020 si o 000 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789811224638
-- (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (hbk.)
082 04 - CLASSIFICATION NUMBER
Call Number 006.33
100 1# - AUTHOR NAME
Author Lu, Jie.
245 10 - TITLE STATEMENT
Title Recommender systems
Sub Title advanced developments /
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Singapore :
Publisher World Scientific,
Year of publication 2020.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (xxii, 339 p.)
490 1# - SERIES STATEMENT
Series statement Intelligent information systems ;
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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 ## - SUMMARY, ETC.
Summary, etc "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.
700 1# - AUTHOR 2
Author 2 Zhang, Qian.
700 1# - AUTHOR 2
Author 2 Zhang, Guangquan.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.worldscientific.com/worldscibooks/10.1142/11947#t=toc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Recommender systems (Information filtering)
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Personal communication service systems.

No items available.