中国标准化Issue(12)：49-53,5.DOI:10.3969/j.issn.1002-5944.2026.12.001
基于用户行为分析的标准文献数据埋点问题诊断和治理框架研究
Research on Problem Diagnosis and Governance Framework of Data Tracking for Standards Literature Based on User Behavior Analysis
李苏 1唐嘉忆 2李仪 2胡欣雨 2朱雅 2王细漫2
作者信息
- 1. 上海市质量和标准化研究院
- 2. 上海标准技术发展有限公司
- 折叠
摘要
Abstract
To enhance the capabilities of user behavior analysis and data-driven decision-making for standards literature service platforms,this study conducts a systematic diagnosis of the data tracking for the information service system and public service platform of the Shanghai Standards Library,which serve as the research objects.By constructing a three-dimensional diagnostic model that integrates data,business,and management layers,the study reveals that the existing tracking has room for optimization in terms of data collection validity,the depth of user behavior profiling,and the establishment of long-term governance mechanisms.In response,this research proposes a progressive governance framework of"data cleansing-business alignment-management closed-loop."This framework provides a clear theoretical reference and a feasible implementation path for similar professional service platforms to address the systemic challenges in data tracking governance.关键词
数据埋点/标准文献/用户行为分析/治理框架Key words
data tracking/standards literature/user behavior analysis/governance framework引用本文复制引用
李苏,唐嘉忆,李仪,胡欣雨,朱雅,王细漫..基于用户行为分析的标准文献数据埋点问题诊断和治理框架研究[J].中国标准化,2026,(12):49-53,5.
