PROCEDURES AND INSTRUCTIONS FOR THE OPTIMIZATION OF A RECOMMENDATION SYSTEM, PREPARATION AND COMPUTER SPECIFICATION

摘要

The invention discloses an optimization method, device and equipment of a recommendation system and a computer storage medium, and relates to the technical field of deep learning and intelligent search in artificial intelligence. According to the specific implementation scheme, the method comprises the steps of adopting the recommendation system as a decision-making body, adopting a user as an environment, adopting the recommendation content of the recommendation system each time as an action of the decision-making body, and adopting the long-term behavior income of the user as rewards of theenvironment; and optimizing the to-be-optimized parameters in the recommendation system by adopting a reinforcement learning mode so as to maximize the rewards of the environment. According to the invention, the long-term income behavior of the user can be effectively optimized.