图书情报工作 ›› 2021, Vol. 65 ›› Issue (16): 42-55.DOI: 10.13266/j.issn.0252-3116.2021.16.005

• 工作研究 • 上一篇    下一篇

公共图书馆数字文化资源服务用户画像研究

王毅, 吴睿青   

  1. 上海大学图书情报档案系 上海 200444
  • 收稿日期:2021-02-07 修回日期:2021-05-14 出版日期:2021-08-20 发布日期:2021-08-20
  • 作者简介:王毅(ORCID:0000-0002-8409-8441),副教授,博士,E-mail:wangyi1985@shu.edu.cn;吴睿青(ORCID:0000-0001-7419-2517),硕士研究生。

Research on User Portrait of Digital Cultural Resource Service in Public Library

Wang Yi, Wu Ruiqing   

  1. Department of Library, Information and Archives, Shanghai University, Shanghai 200444
  • Received:2021-02-07 Revised:2021-05-14 Online:2021-08-20 Published:2021-08-20

摘要: [目的/意义] 通过构建用户画像的方式来识别与描绘公共图书馆数字文化资源服务的不同用户群体,进而准确地提出符合目标用户期望的功能优化与差异性服务策略。[方法/过程] 通过问卷调查和用户访谈途径,运用定量和定性分析方法,分析用户利用公共图书馆数字文化资源服务的目标、行为和态度,进而聚类用户分型并构建用户画像。[结果/结论] 形成"自主进修型""镂心研究型""生活消遣型""资讯衷爱型"4类用户画像,通过解释分析不同用户画像模型中存在的群体特征与关键差异,提出优化策略以促进面向用户的公共图书馆数字文化资源服务更具针对性与适用性。

关键词: 公共图书馆, 数字文化资源服务, 用户画像, 服务优化

Abstract: [Purpose/significance] This paper identified and described different user groups of digital cultural resource services in public libraries by building user portraits, moreover, the function optimization and differential service strategies that meet the expectations of target users are put forward accurately.[Method/process] By means of questionnaire survey and user interview, this paper used quantitative and qualitative analysis methods to analyze users' goals, behaviors and attitudes in the use of digital cultural resources services in public libraries, and then user classification was clustering and user portraits were constructed.[Result/conclusion] Four types of user portraits are formed:"self-study type", "engraving research type", "life recreation type" and "information preference type". By explaining and analyzing the group characteristics and key differences existing in different user portrait models, this paper designed the specific and suitable optimization strategies for the digital cultural resources service of public libraries.

Key words: public library, digital cultural resource service, user portrait, service optimization

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