A novel healthy food recommendation to user groups based on a deep social community detection approach
Existing food recommendation models have typically suggested foods or recipes to single users. However, in reality, users may be members of a […]
Emotional Insights for Food Recommendations
Food recommendation systems have become pivotal in offering personalized suggestions, enabling users to discover recipes in line with their tastes. However, despite […]
A novel healthy and time-aware food recommender system using attributed community detection
Food recommendation systems aim to provide recommendations according to a user’s diet, recipes, and preferences. These systems are deemed useful for assisting […]
A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering
Food recommender-systems are considered an effective tool to help users adjust their eating habits and achieve a healthier diet. This paper aims […]