Crowdsourcing Personalized Weight Loss Diets
AuthorHosio, SJ; Van Berkel, N; Oppenlaender, J; Goncalves, J
University of Melbourne Author/sGoncalves, Jorge
AffiliationComputing and Information Systems
Document TypeJournal Article
CitationsHosio, 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 StatusAccess this item via the Open Access location
Open Access URLhttp://jultika.oulu.fi/files/nbnfi-fe202001202652.pdf
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.
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References