000			03373nam a2200373 a 4500
001			00011947
003			WSP
007			cr cnu|||unuuu
008			200807s2020 si o 000 0 eng
040			_a WSPC _b eng _c WSPC
020			_a9789811224638 _q(ebook)
020			_z9789811224621 _q(hbk.)
050	0	4	_aTK5103.485 _b.L8 2020
072		7	_aCOM _x051300 _2bisacsh
072		7	_aCOM _x042000 _2bisacsh
082	0	4	_a006.33 _223
100	1		_aLu, Jie. _9178425
245	1	0	_aRecommender systems _h[electronic resource] : _badvanced developments / _cby Jie Lu, Qian Zhang, Guangquan Zhang.
260			_aSingapore : _bWorld Scientific, _c2020.
300			_a1 online resource (xxii, 339 p.)
490	1		_aIntelligent information systems ; _vv. 6
505	0		_aRecommender 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			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
650		0	_aRecommender systems (Information filtering) _99125
650		0	_aPersonal communication service systems. _930121
655		0	_aElectronic books. _93294
700	1		_aZhang, Qian. _9178426
700	1		_aZhang, Guangquan. _9178427
830		0	_aIntelligent information systems ; _vv. 6. _9178428
856	4	0	_uhttps://www.worldscientific.com/worldscibooks/10.1142/11947#t=toc _zAccess to full text is restricted to subscribers.
942			_cEBK
999			_c97776 _d97776