Designing a University Library Bibliographic System Integrating User Data
The new university library bibliography system integrating library user data and e-commerce book purchase platform data is divided into three modules:data preparation and data cleansing,data specification and data integration,data analysis and result presentation.User data sources come from the user and their behavior data,as well as the collection resources and their usage data from the Data Resource Service Center of Peking University Library.Web data sources include Douban Reading Data,Dangdang Book Data,JD.com Book Data,and CNKI Citation Database.Data processing methods include data cleansing,data specification and data integration.The three key technologies implemented in the system are book recommendation methods that integrate user data and content,abstract and keyword generation methods for Douban reading notes,and sentiment analysis methods.This bibliographic system focuses on solving the problem of single bibliographic information.By integrating and analyzing library user data and web book data,it enriches the content of bibliographic information and provides a reference for the design and implementation of the next generation library bibliographic system.
University libraryLibrary bibliographic systemUser dataWeb dataBook recommendation
NETL
NSTL
万方数据
