Analysis of Collaborative Filtering Algorithm in Personalized Push Service of University Library

Abstract

The personalized push service function of university library is beneficial to the library's role and can help students learn, but whether this function can achieve good results depends largely on the accuracy of push, and collaborative filtering algorithm can help improve the accuracy of push. Therefore, in order to use the collaborative filtering algorithm to do a good job in personalized push service, this paper will carry out relevant research, introduce the basic concepts of personalized push service and collaborative filtering algorithm, and then analyze the use of the algorithm in personalized push service, in order to provide reference help.