Deep learning techniques in e-commerce recommender systems and their impact on business marketing strategies
Hongxing Tang, Jieying Zhong, Guanlin Liu · 2024
Recommender systems could mitigate the problem of "information overload", understand the additional value of data, provide the specific information to costumer, and make information fully used. The integration of the characterization capability of deep learning (DL) with the recommendation system