Computational analysis of recipe structures and flavor networks

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DC Field	Value	Language
dc.contributor.author	Bharti, Pranjal	-
dc.contributor.author	Bagler, Ganesh (Advisor)	-
dc.date.accessioned	2026-09-08T10:40:02Z	-
dc.date.available	2026-09-08T10:40:02Z	-
dc.date.issued	2025	-
dc.identifier.uri	http://repository.iiitd.edu.in/xmlui/handle/123456789/2113	-
dc.description.abstract	This project explores how ingredients and flavor compounds interact across global cuisines using a data-driven approach. By leveraging structured datasets from RecipeDB and molecule-ingredient mappings, we analyze recipe structures, flavor-sharing indices, and statistical deviations from randomness. The study investigates regional trends in ingredient use and pairing logic, validated with customized Z-scores and delta metrics.	en_US
dc.language.iso	en_US	en_US
dc.publisher	IIIT-Delhi	en_US
dc.subject	Computational Analysis	en_US
dc.subject	RecipeDB	en_US
dc.subject	Z-scores	en_US
dc.title	Computational analysis of recipe structures and flavor networks	en_US
dc.type	Other	en_US
Appears in Collections:	Year-2025

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