Kissing Cuisines: Exploring Worldwide Culinary Habits on the Web
| Autor: | Hamed Haddadi, Yelena Mejova, Seyed Ali Ossia, Gianluca Stringhini, Sina Sajadmanesh, Sina Jafarzadeh, Mirco Musolesi, Hamid R. Rabiee, Emiliano De Cristofaro |
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| Přispěvatelé: | Barrett, R and Cummings, R and Agichtein, E and Gabrilovich, E, Sajadmanesh, S and Jafarzadeh, S and Ossia, SA and Rabiee, HR and Haddadi, H and Mejova, Y and Musolesi, M and Cristofaro, ED and Stringhini, G |
| Rok vydání: | 2016 |
| Předmět: |
Social and Information Networks (cs.SI)
FOS: Computer and information sciences Computer science Computer Science - Artificial Intelligence Taste (sociology) media_common.quotation_subject Advertising Computer Science - Social and Information Networks 02 engineering and technology Online social media analysis health data mining Health indicator World Wide Web Computer Science - Computers and Society Artificial Intelligence (cs.AI) 020204 information systems Computers and Society (cs.CY) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing media_common |
| Zdroj: | WWW (Companion Volume) |
| DOI: | 10.48550/arxiv.1610.08469 |
| Popis: | Food and nutrition occupy an increasingly prevalent space on the web, and dishes and recipes shared online provide an invaluable mirror into culinary cultures and attitudes around the world. More specifically, ingredients, flavors, and nutrition information become strong signals of the taste preferences of individuals and civilizations. However, there is little understanding of these palate varieties. In this paper, we present a large-scale study of recipes published on the web and their content, aiming to understand cuisines and culinary habits around the world. Using a database of more than 157K recipes from over 200 different cuisines, we analyze ingredients, flavors, and nutritional values which distinguish dishes from different regions, and use this knowledge to assess the predictability of recipes from different cuisines. We then use country health statistics to understand the relation between these factors and health indicators of different nations, such as obesity, diabetes, migration, and health expenditure. Our results confirm the strong effects of geographical and cultural similarities on recipes, health indicators, and culinary preferences across the globe. Comment: In the Web Science Track of 26th International World Wide Web Conference (WWW 2017) |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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