Knowledge-guided deep reinforcement learning for interactive recommendation

Field	Value	Language
dc.contributor.author	Chen, X
dc.contributor.author	Huang, C
dc.contributor.author	Yao, L
dc.contributor.author	Wang, X https://orcid.org/0000-0001-9582-3445
dc.contributor.author	Liu, W
dc.contributor.author	Zhang, W
dc.date	2020-07-19
dc.date.accessioned	2020-08-09T02:18:50Z
dc.date.available	2020-03-21
dc.date.available	2020-08-09T02:18:50Z
dc.date.issued	2020-09-20
dc.identifier.citation	2020
dc.identifier.uri	http://hdl.handle.net/10453/142028
dc.language	en
dc.publisher	IEEE
dc.relation	http://purl.org/au-research/grants/arc/DE180100251
dc.relation.ispartof	33rd International Joint Conference on Neural Networks
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Knowledge-guided deep reinforcement learning for interactive recommendation
dc.type	Conference Proceeding
utslib.location.activity	Glasgow, UK
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
utslib.copyright.embargo	2022-09-20T00:00:00+1000Z
dc.date.updated	2020-08-09T02:18:41Z
pubs.finish-date	2020-07-24
pubs.publication-status	Accepted
pubs.start-date	2020-07-19

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/142028