INTRODUCTION.Recommender systems(RSs)have become essential tools for managing the exponential growth of information available online.By analyzing user behavior patterns and inferring user preferences,these systems sig...INTRODUCTION.Recommender systems(RSs)have become essential tools for managing the exponential growth of information available online.By analyzing user behavior patterns and inferring user preferences,these systems significantly enhance user experience by providing personalized recommendations.RSs are applied across diverse domains,from e-commerce platforms to content streaming ser-vices,achieving remarkable improvements in user engagement,customer satisfaction,and business performance.展开更多
基金funded by the National Key R&D Program of China(2022YFB3103700)the National Natural Science Foundation of China under grant nos.U21B2046 and 62472409.
文摘INTRODUCTION.Recommender systems(RSs)have become essential tools for managing the exponential growth of information available online.By analyzing user behavior patterns and inferring user preferences,these systems significantly enhance user experience by providing personalized recommendations.RSs are applied across diverse domains,from e-commerce platforms to content streaming ser-vices,achieving remarkable improvements in user engagement,customer satisfaction,and business performance.
