Crowdsourcing Personalized Weight Loss Diets
Author
Hosio, SJ; Van Berkel, N; Oppenlaender, J; Goncalves, JDate
2020-01-01Source Title
ComputerPublisher
IEEEUniversity of Melbourne Author/s
Goncalves, JorgeAffiliation
Computing and Information SystemsMetadata
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Journal ArticleCitations
Hosio, 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.Access Status
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http://jultika.oulu.fi/files/nbnfi-fe202001202652.pdfAbstract
The 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.
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