University of Oulu

S. J. Hosio, N. van Berkel, J. Oppenlaender and J. Goncalves, "Crowdsourcing Personalized Weight Loss Diets," in Computer, vol. 53, no. 1, pp. 63-71, Jan. 2020. doi: 10.1109/MC.2019.2902542

Crowdsourcing personalized weight loss diets

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Author: Hosio, Simo1; van Berkel, Niels2; Oppenlaender, Jonas1;
Organizations: 1University of Oulu, Finland
2The University of Melbourne, Australia
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 2.5 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-01-20


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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Series: Computer
ISSN: 0018-9162
ISSN-E: 1558-0814
ISSN-L: 0018-9162
Volume: 53
Issue: 1
Pages: 63 - 71
DOI: 10.1109/MC.2019.2902542
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
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