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All Projects → ylongqi → yumme

ylongqi / yumme

Licence: Apache-2.0 license
Yum-me is a nutrient based food recommendation system

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computer-visiondeep-learningrecommendation-systemactive-learningfood-recommendation

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Yum-me

An open-source nutrient-based food recommendation service described in the following publication:

Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, JP Pollak, Nicola Dell, Serge Belongie, Curtis Cole, Deborah Estrin, "Yum-me: A Personalized Nutrient-based Meal Recommender System" ACM Transactions on Information Systems (TOIS), 36.1 (2017): 7.

This repo contains backend and frontend implementations of the end-to-end user study.

The service is built on Flask. Recipe metadata and pretrained models can be downloaded via the following link:

https://drive.google.com/drive/folders/1ZxEF4I6MYlQlRIG7ihwH-Hr2Ac9CTNGS?usp=sharing

For FoodDist model, please refer to: https://github.com/ylongqi/fooddist

Contact: Longqi Yang, [email protected]

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