Telecom carrier package recommendation system based on deep learning

With the intensifying competition in the telecommunications industry and the increasing diversity of user demands, telecom operators urgently need more intelligent and personalized services to enhance user experience and boost customer loyalty. This paper explores the application of deep learning technology in telecom package recommendation systems. This paper builds models capable of providing real-time personalized package recommendations by leveraging user behavior data. The research shows that deep learning-based recommendation systems can significantly improve the performance of package recommendation models.