Computational gastronomy: A study to test the food pairing hypothesis in Turkish cuisine

Doğan, Murat; Değerli, Ahmet Hakan

doi:10.1016/j.ijgfs.2023.100795

International Journal of Gastronomy and Food Science

2023

DOI: 10.1016/j.ijgfs.2023.100795

|View full text |Cite

Computational gastronomy: A study to test the food pairing hypothesis in Turkish cuisine

Murat Doğan,

Ahmet Hakan Değerli

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article4

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A topological analysis of the space of recipes

Escolar,

Shimada,

Yuasa

2024

International Journal of Gastronomy and Food Science

View full text Add to dashboard Cite

A topological analysis of the space of recipes

Escolar,

Shimada,

Yuasa

2024

International Journal of Gastronomy and Food Science

View full text Add to dashboard Cite

Flavor analysis and region prediction of Chinese dishes based on food pairing

Zhou,

Xin,

et al. 2024

Information Processing & Management

View full text Add to dashboard Cite

Computational gastronomy: capturing culinary creativity by making food computable

Bagler,

Goel

2024

npj Syst Biol Appl

View full text Add to dashboard Cite

Cooking, a quintessential creative pursuit, holds profound significance for individuals, communities, and civilizations. Food and cooking transcend mere sensory pleasure to influence nutrition and public health outcomes. Inextricably linked to culinary and cultural heritage, food systems play a pivotal role in sustainability and the survival of life on our planet. Computational Gastronomy is a novel approach for investigating food through a data-driven paradigm. It offers a systematic, rule-based understanding of culinary arts by scrutinizing recipes for taste, nutritional value, health implications, and environmental sustainability. Probing the art of cooking through the lens of computation will open up a new realm of possibilities for culinary creativity. Amidst the ongoing quest for imitating creativity through artificial intelligence, an interesting question would be, ‘Can a machine think like a Chef?’ Capturing the experience and creativity of a chef in an AI algorithm presents an exciting opportunity for generating a galaxy of hitherto unseen recipes with desirable culinary, flavor, nutrition, health, and carbon footprint profiles.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Computational gastronomy: A study to test the food pairing hypothesis in Turkish cuisine

Cited by 4 publications

References 27 publications

A topological analysis of the space of recipes

A topological analysis of the space of recipes

Flavor analysis and region prediction of Chinese dishes based on food pairing

Computational gastronomy: capturing culinary creativity by making food computable

Contact Info

Product

Resources

About