融合用户数据的高校图书馆书目系统设计  

Designing a University Library Bibliographic System Integrating User Data

作　　者：王一博 张鹏翼[1] Wang Yibo;Zhang Pengyi

机构地区：[1]北京大学信息管理系 [2]北京大学图书馆

出　　处：《图书馆建设》2024年第1期121-130,145,共11页Library Development

摘　　要：融合图书馆用户数据、Web图书数据的新型高校图书馆书目系统分为数据准备和数据清洗、数据规范和数据集成、数据分析和结果呈现三个模块;用户数据源来自北京大学图书馆数据资源服务中心的用户及其行为数据和馆藏资源及其使用数据,Web数据源包括豆瓣读书数据、当当图书数据、京东图书数据以及中国知网引文数据;数据处理方法包括数据清洗、数据规范和数据集成;系统实现的三个关键技术为融合用户数据及内容的图书推荐方法、豆瓣读书笔记的摘要和关键词生成方法以及情感分析方法。该书目系统聚焦于解决书目信息单一的问题,通过集成和分析图书馆用户数据和Web图书数据,丰富书目信息的内容,为下一代图书馆书目系统的设计与实现提供了参考。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.

关 键 词：高校图书馆 图书馆书目系统 用户数据 网络数据 图书推荐 

分 类 号：G258.6[文化科学—图书馆学] G250.7