Résumé:
In recent years deep learning techniques have shown great results in many fields (such as natural
language processing, computer vision). Among their new applications, researchers started to
apply these techniques on recommender systems to predict the best user preferred choice. In this
project we applied one of deep learning techniques which is neural networks, specifically NCF
on bookCrossing dataset to recommend books to users based on their previous ratings. Our
model showed good results after extensive evaluation and experimental tests.