Crowdsourcing Personalized Weight Loss Diets

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    Author
    Hosio, SJ; Van Berkel, N; Oppenlaender, J; Goncalves, J
    Date
    2020-01-01
    Source Title
    Computer
    Publisher
    IEEE
    University of Melbourne Author/s
    Goncalves, Jorge
    Affiliation
    Computing and Information Systems
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    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
    Access this item via the Open Access location
    URI
    http://hdl.handle.net/11343/253983
    DOI
    10.1109/MC.2019.2902542
    Open Access URL
    http://jultika.oulu.fi/files/nbnfi-fe202001202652.pdf
    Abstract
    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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