Fig. 12: Overview of the Food Recommender model. | npj Digital Medicine

Fig. 12: Overview of the Food Recommender model.

From: Digital health application integrating wearable data and behavioral patterns improves metabolic health

Fig. 12: Overview of the Food Recommender model.The alternative text for this image may have been generated using AI.

A Food Recommender processing stages. Conceptually, the Food Recommender can be organized as a sequence of 4 processing stages: Input food →(1) Personalized similarity food matching. Finding food items similar to the food item being searched by the user →(2) Blacklist foods removal. Removal of foods that the user has “blacklisted”, i.e. allergies, sensitivities →(3) Healthiness ranking. Ranking of foods according to a “healthiness” scale that takes into account carbohydrate and fiber composition →(4) Cleanup of recommendations list. Removal of substandard recommendations→ Recommendations for user. B Interface between app and Food Recommender. C Example in-app recommendations. Note the similarity between the food item being looked up, and the food item being recommended to the user.

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