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
|Author:||Hosio, Simo1; van Berkel, Niels2; Oppenlaender, Jonas1;|
1University of Oulu, Finland
2The University of Melbourne, Australia
|Online Access:||PDF Full Text (PDF, 2.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202001202652
Institute of Electrical and Electronics Engineers,
|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.
|Pages:||63 - 71|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
113 Computer and information sciences
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