Author(s)

Jinping Xu

Corresponding Author

Jinping Xu

Abstract

In the context of big data, how to construct a suitable user behavior model and provide personalized services based on massive behavior log data is an urgent problem that needs to be solved in the current university library big data application. Based on the connotation and basic characteristics of personalized information service, this paper constructs a user behavior analysis system for library personalized service based on big data and digital mining from the perspective of user behavior analysis. The research results show that the user behavior model based on ontology system can be seamlessly docked with the large data analysis platform in technology, thus providing real-time and accurate services. It can effectively deal with the "knowledge lost", "information overload" and "emotional missing" of library personalized services under the current large data environment War. The final research shows that the personalized information service of university libraries is bound to be more systematic and large-scale, and become the future development direction of library information service. This system can discover the readers' service needs in the era of big data and effectively guarantee the service quality of libraries.

Keywords

Library, Big Data and Digital Mining, Personalized Service