面向图书馆数字资源的用户信息行为采集系统设计与实现  

Research on the Application of Title Similarity Calculation Model in Quality Control of Characteristics Literature Data

作　　者：金光龙[1] 张光照[1] JIN Guangong;ZHANG Guanzhao(Guizhou University of Finance and Economics Library,Guiyang 550025,Guizhou)

机构地区：[1]贵州财经大学图书馆,贵州贵阳550025

出　　处：《长江信息通信》2024年第6期155-157,共3页Changjiang Information & Communications

基　　金：2022年度贵州财经大学校级项目“基于Python的知识图谱构建与应用实验教学设计”(项目编号:2022KYYB14)。

摘　　要：随着信息化技术的普及,数字资源已成为图书馆馆藏资源建设的核心部分。选择合适的数字资源供应商和向读者提供定制化、精准的阅读服务显得尤为关键。而获取用户在使用数字资源时的信息行为数据,是实现这一目标的基石。为解决现有研究在采集用户行为数据时消耗巨大存储空间和算力以及不够及时的局限,文章提出基于Vertx的反向代理机制的用户信息行为采集系统,旨在精准化的进行用户信息行为采集,解决算力、存储和实时性的局限。With the popularity of information technology,digital resources have become a core part of library collection development.It is crucial to select appropriate digital resource providers and offer customized and accurate reading services to readers.Obtaining user behavior data when using digital resources is the cornerstone of achieving the goal.To address the limitations of con-suming enormous storage space and computational power,as well as the lack of real-time data in existing research on collecting user behavior data,the paper proposes a user information behavior collection system based on Vert,x reverse proxy mechanism.The aim is to accurately collect user behavior data and overcome the limitations of computational power,storage,and real-time data.

关 键 词：图书馆 用户信息行为 数据采集 反向代理 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]