Research on Personalized Information Service of University Library Based on Association Rules Mining

Abstract

With the vigorous development of computer technology, network technology and modern communication
technology, data mining, as a derivative of the rapid development of information technology, provides technical
support for the effective management of digital knowledge resources. Today, with the digital construction of
university library, personalized service of library has become an urgent need. One of the key points of personalized
service in university library is how to obtain readers' personalized information needs effectively and automatically,
so as to guide personalized service. The emergence of data mining technology enables us to extract the required
information from a large amount of information. Association rules in data mining are to discover the connections
between different items in the database, and these rules reflect the reading behavior patterns of readers. Based on
the relevant principles of data mining technology, this paper constructs a library personalized information service
system, and introduces the realization ways of library personalized information service based on data mining
technology from the perspective of association rules.