Deep learning-based recommendation systems perform better

What makes deep learning-based recommendation systems different from the traditional recommender systems is their ability to analyze complex interaction patterns between the visitor and the products and construct additional features automatically, leading to recommendations that precisely match the visitors' intent and affinity. Deep learning-based systems overcome the weaknesses of the two more traditional types of recommender systems: content-based and collaborative filtering. See how CartUp AI makes deep learning and other cutting-edge AI technologies available to merchants.