Tongxin xuebao (Nov 2024)
Research on architecture design and core strategy of intelligent recommendation system for electronic literature resources in colleges and universities
Abstract
In order to facilitate teachers and students to quickly locate the required literature resources in the massive electronic literature, improve the efficiency of electronic literature resource utilization, and achieve personalized and accurate literature recommendation services, a university electronic literature resource intelligent recommendation system was designed. Firstly the problems existing in the implementation of the intelligent recommendation system for university electronic literature were analyzed using the literature method. On these problems, a university electronic literature resource intelligent recommendation system was designed, which includes a data collection layer, a data mining layer, a recommendation brain layer, an application service layer, an information standardization system, and a security and operation maintenance system. Finally, the core strategies and algorithms of the system were introduced. Practical application in our university has shown that the system can recommend electronic literature resources of interest to users and provide reference for the implementation of personalized electronic literature intelligent recommendation systems in other universities.
