Recommender Systems Advanced Developments

Lu, J; Zhang, Q; Zhang, G

Recommender Systems Advanced Developments

Lu, J Zhang, Q

Zhang, G

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Publication Type:: Book
Citation:: 2020
Issue Date:: 2020-07-27

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Field	Value	Language
dc.contributor.author	Lu, J
dc.contributor.author	Zhang, Q https://orcid.org/0000-0001-9977-8418
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583
dc.date.accessioned	2021-04-23T03:40:54Z
dc.date.available	2021-04-23T03:40:54Z
dc.date.issued	2020-07-27
dc.identifier.citation	2020
dc.identifier.isbn	9811224625
dc.identifier.isbn	9789811224621
dc.identifier.uri	http://hdl.handle.net/10453/148298
dc.description.abstract	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 ...
dc.language	en
dc.relation	University of Technology Sydney
dc.relation	Optus
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Recommender Systems Advanced Developments
dc.type	Book
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2021-04-23T03:39:21Z
pubs.publication-status	Published

Abstract:

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 ...

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http://hdl.handle.net/10453/148298