🌍🍰🍜 Towards smarter food recommender systems! Imagine a future where food apps understand cultural taste — not just clicks! Sounds good to you?
Our former PhD student Qing Zhang (now postdoc at Sun Yat-sen University), David Elsweiler, and Christoph Trattner (SFI MediaFutures) have started with decoding global flavor preferences using 75,000 online recipes — not just by ingredients, but by molecular flavor compounds! 🍓🍋🌶️
Key findings are:
✅ Machine learning identified recipes' country of origin with 77% accuracy
✅ Top-rated vs. bottom-rated dishes within cultures showed unique flavor signatures
✅ Surprising overlap in flavor tastes between China 🇨🇳 and the U.S. 🇺🇸 — but not with Germany 🇩🇪
👨🍳 Why it matters:
This research paves the way for culturally aware food recommender systems that go beyond food pairing — helping travelers, migrants, and global eaters find what tastes right to them, wherever they are.
📄 Read the full paper in Foods: www.mdpi.com/2304-8158/14/8/1411
#FoodPreferences #FoodCultures
#CrossCultural #FoodStudies
#FoodRecommender #RecommenderSystems
#MachineLearning #AI #DataScience
#EmpiricalStudy
#PhDResearch
#MDPI #Foods
#ResearchSuccess #ResearchPaperAccepted
#InformationScienceRegensburg #StayInformed
Informationen/Kontakt
PD Dr. David Elsweiler ist akademischer Oberrat und Dozent am Lehrstuhl für Informationswissenschaft. – David.Elsweiler(at)ur.de (öffnet Ihr E-Mail-Programm)
Dr. Qing Zhang hat 2022 ihr Promotionsprojekt am Lehrstuhl für Informationswissenschaft unter der Betreuung von David Elsweiler erfolgreich abgeschlossen. Im Anschluss an ihre Promotion war sie an der Information Management School der Sun Yat-sen University als Post-Doc-Forschungsstipendiatin tätig.
Literaturverweis
Zhang, Q., Elsweiler, D., & Trattner, C. (2025). Decoding Global Palates: Unveiling Cross-Cultural Flavor Preferences Through Online Recipes. Foods, 14(8), 1411. https://doi.org/10.3390/foods14081411 (externer Link, öffnet neues Fenster)
