Research on Collaborative Filtering Optimization Algorithm Based on Smart Library Control System
Shuanglin Zou · 2023
At present, the control system of smart library is faced with the geometric growth of digital resources and the rapid multiplication of users. In the face of massive digital resources, using cloud computing technology can recommend digital resources to users more intelligently and efficiently. With the advent of the cloud era of smart libraries, cloud computing technology provides a new service model and an effective control system for smart libraries. Firstly, this paper briefly introduces the framework related theories of cloud computing and smart library, and introduces the concept and deployment mode of cloud computing in related theories. Then, collaborative filtering optimization algorithm is applied to the control system of smart library to make up for the shortcomings of retrieval and sorting in the control system of smart library. Finally, this paper first introduces the filtering optimization and the principle of optimization, and then analyzes the reasons why the control system of smart library chooses collaborative filtering recommendation method. Finally, this paper filters and optimizes the neighbors of multiple neighboring users and effectively combines with the smart library control system to find the neighboring users and critical points. When the MAE value increases to 1000, the optimal critical value can be reached.