Show simple item record

dc.contributor.authorHosio, SJ
dc.contributor.authorVan Berkel, N
dc.contributor.authorOppenlaender, J
dc.contributor.authorGoncalves, J
dc.date.accessioned2020-12-14T05:42:54Z
dc.date.available2020-12-14T05:42:54Z
dc.date.issued2020-01-01
dc.identifier.citationHosio, S. J., Van Berkel, N., Oppenlaender, J. & Goncalves, J. (2020). Crowdsourcing Personalized Weight Loss Diets. Computer, 53 (1), pp.63-71. https://doi.org/10.1109/MC.2019.2902542.
dc.identifier.issn0018-9162
dc.identifier.urihttp://hdl.handle.net/11343/253983
dc.description.abstractThe Diet Explorer is a lightweight system that relies on aggregated human insights for assessing and recommending suitable weight loss diets. We compared its performance against Google and suggest that the system, bootstrapped using a public crowdsourcing platform, provides comparable results in terms of overall satisfaction, relevance, and trustworthiness.
dc.publisherIEEE
dc.titleCrowdsourcing Personalized Weight Loss Diets
dc.typeJournal Article
dc.identifier.doi10.1109/MC.2019.2902542
melbourne.affiliation.departmentComputing and Information Systems
melbourne.source.titleComputer
melbourne.source.volume53
melbourne.source.issue1
melbourne.source.pages63-71
melbourne.elementsid1429654
melbourne.openaccess.urlhttp://jultika.oulu.fi/files/nbnfi-fe202001202652.pdf
melbourne.openaccess.statusAccepted version
melbourne.contributor.authorGoncalves, Jorge
dc.identifier.eissn1558-0814
melbourne.accessrightsAccess this item via the Open Access location


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record