A novel healthy food recommendation to user groups based on a deep social community detection approach

Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh, Sajad Ahmadian, Vahid Farrahi, Mourad Oussalah

Abstract: Highlights•Developing a novel healthy food recommendation to user groups.•Utilizing deep community detection and popularity measure in recommendation.•Considering user ratings, food ingredients and nutrition in the recommendation.•Results obtained from two real datasets demonstrated the efficacy of our model.