HIGHLIGHTS
- Who: Chenxi Shi and collaborators from the University, Boston, MA, USA have published the Article: Maximizing user experience with LLMOps-driven personalized recommendation systems, in the : Proceedings of the 6th International Conference on Computing and Data Science
- Future: With the development of computer technology the recommendation technology adopted by the recommendation system is mainly based on the early user-item-based data matrix decomposition technology and gradually develops in the direction of integrating with data mining machine_learning artificial_intelligence and other technologies so as to deeply explore the potential preferences of users` behaviors and build a . . .
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