Multi-stakeholder News Recommendation Using Hypergraph Learning

dc.contributor.author	Gharahighehi, Alireza
dc.contributor.author	Vens, Celine
dc.contributor.author	Pliakos, Konstantinos
dc.contributor.imecauthor	Gharahighehi, Alireza
dc.contributor.imecauthor	Vens, Celine
dc.contributor.imecauthor	Pliakos, Konstantinos
dc.contributor.orcidimec	Gharahighehi, Alireza::0000-0003-1453-1155
dc.contributor.orcidimec	Vens, Celine::0000-0003-0983-256X
dc.date.accessioned	2022-01-04T11:08:29Z
dc.date.available	2021-12-10T02:04:17Z
dc.date.available	2022-01-04T11:08:29Z
dc.date.issued	2020
dc.identifier.doi	10.1007/978-3-030-65965-3_36
dc.identifier.eisbn	978-3-030-65965-3
dc.identifier.isbn	978-3-030-65964-6
dc.identifier.issn	1865-0929
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/38595
dc.publisher	SPRINGER INTERNATIONAL PUBLISHING AG
dc.source.beginpage	531
dc.source.conference	European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
dc.source.conferencedate	SEP 14-18, 2020
dc.source.conferencelocation	Gent, Belgium
dc.source.endpage	535
dc.source.journal	Communications in Computer and Information Science
dc.source.numberofpages	5
dc.source.volume	1323
dc.title	Multi-stakeholder News Recommendation Using Hypergraph Learning
dc.type	Proceedings paper
dspace.entity.type	Publication
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