Towards A Fully Personalized Food Recommendation Tool

AVI'18: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ADVANCED VISUAL INTERFACES(2018)

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摘要
We present(1) a personalized ingredient-based Deep Learning recommender on the food domain that exploits ingredients and nutrition information to create recipe representations and propose to every user a more personalized and healthier meal. The recommender will be a critical component in our Meal Prediction Tool (MPT) designed with a focus on the personalization of services, increasing business efficiency and sustainability in the hospitality, restaurant and catering (HoReCa) industry.
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关键词
Food Recommender, Deep Learning, HoReCa industry
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