??? 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
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