Crowdsourcing personalized weight loss diets
Hosio, Simo; van Berkel, Niels; Oppenlaender, Jonas; Goncalves, Jorge (2020-01-15)
Hosio, Simo
van Berkel, Niels
Oppenlaender, Jonas
Goncalves, Jorge
Institute of Electrical and Electronics Engineers
15.01.2020
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
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© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe202001202652
https://urn.fi/URN:NBN:fi-fe202001202652
Tiivistelmä
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.
Kokoelmat
- Avoin saatavuus [31657]