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Understanding aesthetic aspects of cross-cultural food preferences with online recipe platforms

URN to cite this document:
urn:nbn:de:bvb:355-epub-539824
DOI to cite this document:
10.5283/epub.53982
Zhang, Qing
Date of publication of this fulltext: 24 Apr 2023 08:28


Abstract (English)

Food recommender systems offer the potential to provide meal suggestions that account not only for user preferences, but also reflect ideals, such as healthfulness and sustainability. Predicting user food preferences is, however, a challenging problem given the diverse factors that influence what an individual likes to eat. Culture is known to be one of the factors. Food across cultures shows ...

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Translation of the abstract (German)

Food-Recommender-Systeme bieten die Möglichkeit Essensvorschläge zu machen, die neben Nutzervorlieben auch Kriterien wie Gesundheit und Nachhaltigkeit berücksichtigen. Essensvorlieben von Nutzern und Nutzerinnen vorherzusagen stellt jedoch eine Herausforderung dar, da verschiedene Faktoren Einfluss darauf haben, was eine Person gerne isst. Kultur ist bekanntermaßen einer dieser Faktoren. ...

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