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Informed Diet Selection: Increasing Food Literacy Through Crowdsourcing

Authors: Simo Hosio; Jorge Goncalves; N. van Berkel; Vassilis Kostakos;

Informed Diet Selection: Increasing Food Literacy Through Crowdsourcing

Abstract

The Internet offers plenty of options for those who want to lose weight. Choosing among the practically unlimited number of weight loss diets, exercises, and pills, advertised as borderline magical, is however challenging. We present The Diet Explorer, a crowd-powered, knowledge base that can be queried in real-time to discover weight loss diets that best match personal needs. Our long-term goals are to help people in making better-informed dieting decisions and ultimately reach more satisfactory diet outcomes.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    download downloads 4
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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
Average
Average
35
4
Green