Application Of Intelligent Book Recommend System In University Digital Library

As a new form of traditional college library,university digital library integrates the online and offline electronic and book resources of traditional library,integrates new technologies such as internet,data mining and artificial intelligence,and provides users with personalized Information service.However,as the digital information in the library database increases year by year,it is a hot research topic nowadays how to help users find the information they need more effectively.Most of the domestic university digital library system is still based on information search,this passive service to a large extent restricted the use of information resources,reducing the utilization of information resources,but also allow users to spend a lot of time and Effort to find the information they need.In response to these problems,how to translate passive service into active and personalized recommendation service is a problem facing the current university library.Intelligent recommendation technology is an important technical means to achieve personalized service,recommended technologies are now widely used in the field of e-commerce.According to the user's search behavior and the user's interest setting,the platform provides users with personalized information services,which not only helps the user to quickly find the desired product,but also improves the service quality and at the same time,gains more profits for the merchant.University digital library can collect user's preference information such as teacher-student behavior information and teacher's research direction through technical means,so as to predict the information resources that may be of interest to users through the artificial intelligence technology and provide the teachers and students initiatively providing diversified information through the recommendation system service.Therefore,personalized digital book recommendation system has received widespread attention.This paper mainly studies how to apply the collaborative recommendation technology to the personalized recommendation service of digital library in the service architecture of personalized service system and article-based collaborative filtering algorithm,which will provide reference for personalized recommendation service in the future.