Nowadays, a vast amount of clinical data scattered across different sites on the Internet
hinders users from finding helpful information for their well-being improvement. Besides, the …

The Internet has revolutionised the way information is retrieved, and the increase in the
number of users has resulted in a surge in the volume and heterogeneity of available data …

Food recommender-systems are considered an effective tool to help users adjust their
eating habits and achieve a healthier diet. This paper aims to develop a new hybrid food …

Recent studies have shown that robust diets recommended to patients by Dietician or an
Artificial Intelligent automated medical diet based cloud system can increase longevity …

In the field of Artificial Intelligence Machine learning provides the automatic systems which
learn and improve itself from experience without being explicitly programmed. In this …

The World Health Organization identifies the overall increasing of noncommunicable
diseases as a major issue, such as premature heart diseases, diabetes, and cancer …

Recommender Systems (RS) help the user in the decision-making process when there is a
problem of plenty or lack of information. The context-aware recommender systems (CARS) …

In response to the detrimental health-and environmental impacts of European consumers'
dietary patterns, Nutri-Scores and Eco-Scores have been introduced on packages as …

Food recommender systems show personalized recipes to users based on content liked
previously. Despite their potential, often recommended (popular) recipes in previous studies …

Large Language Models (LLMs) have the potential to contribute to the fields of nutrition and
dietetics in generating food product explanations that facilitate informed food selections …