Food recommendation systems aim to provide recommendations according to a user's diet,
recipes, and preferences. These systems are deemed useful for assisting users in changing …

Background: Nutrition informatics has become a novel approach for registered dietitians to
practice in this field and make a profit for health care. Recommendation systems considered …

In food diet communication domain, images convey important information to capture users'
attention beyond the traditional ingredient content, making it crucial to influence user …

Background: As a prevalent metabolic disease, diabetes has different side effects and
causes a wide range of co morbidity with a high rate of mortality. There is a need for certain …

Food recommendation system is one of the most interesting recommendation problems
since it provides data for decision-making to users on selection of foods that meets …

This study aimed to predict dietary recommendations and compare the performance of
algorithms based on collaborative filtering for making predictions of personalized dietary …

Because of COVID-19 worldwide pandemic, there is a need for any complementary
solutions to boost the immune system. Nowadays, healthy lifestyle, fitness, and diet habits …

Recommender systems are widely used for recommending items based on the user's
specific preference. They depict user choices in a manner that can be exploited to …

It is necessary to give concentrated attention to the issue of stunting by implementing
appropriate nutrition initiatives to prevent stunted physical and mental development. Optimal …

Background. Since physical activity has a high impact on patients with type 1 diabetes and
the risk of hypoglycemia (low blood glucose levels) is significantly higher during and after …