University of Oulu
Oulu University Library
OuluCRIS
Laturi
Muuntaja

Similar Items

Cover Image

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

Saved in:
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: http://urn.fi/urn:nbn:fi-fe202001202652
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-01-20
Description:

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.

see all
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
OADOI: https://oadoi.org/10.1109/MC.2019.2902542
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Subjects:
Article
Copyright information: © 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.