A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems
Food recommendation systems have become increasingly popular due to the proliferation of online food service websites. Accordingly, the ratings assigned by users […]
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 […]
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 […]