Construction of library personalized management system based on collaborative filtering algorithm
Hong‐Yan Zhang, Lu Guo · 2023
In the face of massive book resources, users need to spend a lot of time and energy to obtain the required book resources, while the traditional search query can no longer meet the needs of users. In the process of informatization, the library management system has accumulated a large amount of data. There is a lot of valuable information among these data, which can provide decision support for decision makers of enterprises and departments. Users' demand for resources is becoming more and more detailed and precise, and it is increasingly difficult for users to quickly and accurately obtain the resources they need. Based on this, this article puts forward a personalized recommendation model of library based on Collaborative Filtering (CF) algorithm, which can mine the hidden information behind the data, predict the information needs of readers, organize more and better targeted high-quality information for readers, and provide more personalized services. The experimental results show that the personalized recommendation system can improve the recommendation accuracy and realize dynamic personalized recommendation, which provides a theoretical basis for the construction of university libraries.