Published February 20, 2020 | Version v1
Journal article Open

FoodEx2vec: New foods' representation for advanced food data analysis

  • 1. Computer Systems Department, Jožef Stefan Institute
  • 2. Jožef Stefan International Postgraduate School. Computer Systems Department, Jožef Stefan Institute
  • 3. Computer Systems Department, Jožef Stefan Institute. Jožef Stefan International Postgraduate School. School of Health Sciences, Faculty of Health and Medicine, Priority Research Centre in Physical Activity and Nutrition, The University of Newcastle, Callaghan, Australia

Description

This paper presents an approach for representing foods in the form of vectors of continuous numbers (food embeddings) as an alternative solution to manual indexing. The utility of representing food data as a vector of continuous numbers is evaluated and demonstrated through a series of tasks.

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Is published in
0278-6915 (ISSN)

Funding

European Commission
SAAM – Supporting Active Ageing through Multimodal coaching 769661
European Commission
FNS-Cloud – Food Nutrition Security Cloud 863059