Analyzing Accuracy versus Diversity in a Health Recommender System for Physical Activities: a Longitudinal User Study

dc.contributor.author	Coppens, Ine
dc.contributor.author	Martens, Luc
dc.contributor.author	De Pessemier, Toon
dc.contributor.imecauthor	Coppens, Ine
dc.contributor.imecauthor	Martens, Luc
dc.contributor.imecauthor	De Pessemier, Toon
dc.contributor.orcidimec	Coppens, Ine::0000-0002-3051-506X
dc.contributor.orcidimec	Martens, Luc::0000-0001-9948-9157
dc.contributor.orcidimec	De Pessemier, Toon::0000-0002-3920-7346
dc.date.accessioned	2024-03-28T08:57:14Z
dc.date.available	2024-03-14T18:00:40Z
dc.date.available	2024-03-28T08:57:14Z
dc.date.issued	2023
dc.identifier.doi	10.1145/3604915.3610650
dc.identifier.eisbn	979-8-4007-0241-9
dc.identifier.issn	N/A
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/43668
dc.publisher	ASSOC COMPUTING MACHINERY
dc.source.beginpage	1146
dc.source.conference	17th ACM Conference on Recommender Systems (RecSys)
dc.source.conferencedate	SEP 18-22, 2023
dc.source.conferencelocation	Singapore
dc.source.endpage	1151
dc.source.journal	N/A
dc.source.numberofpages	6
dc.title	Analyzing Accuracy versus Diversity in a Health Recommender System for Physical Activities: a Longitudinal User Study
dc.type	Proceedings paper
dspace.entity.type	Publication
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