图书情报工作 ›› 2019, Vol. 63 ›› Issue (22): 41-48.DOI: 10.13266/j.issn.0252-3116.2019.22.005

• 专题:用户画像研究 • 上一篇    下一篇

面向精准化服务的图书馆用户画像模型构建

于兴尚1,2, 王迎胜2   

  1. 1. 广州工商学院 佛山 528100;
    2. 黑龙江大学信息资源管理研究中心 哈尔滨 150080
  • 收稿日期:2019-01-02 修回日期:2019-03-30 出版日期:2019-11-20 发布日期:2019-11-20
  • 作者简介:于兴尚(ORCID:0000-0002-3763-3958),硕士,E-mail:1170968754@qq.com;王迎胜(ORCID:0000-0001-6071-8776),教授,硕士生导师。

Research on the Construction of Library Precision Service Model Based on User Portrait

Yu Xingshang1,2, Wang Yingsheng2   

  1. 1. Guangzhou College of Technology and Business, Fushan 528100;
    2. Information Resource Management, Research Center School of Information Management, Heilongjiang University, Harbin 150080
  • Received:2019-01-02 Revised:2019-03-30 Online:2019-11-20 Published:2019-11-20

摘要: [目的/意义] 基于用户画像构建图书馆精准服务模型,以期为用户进行精确服务提供参考,并为图书馆界进行精准化服务提供新方向。[方法/过程] 以用户基本数据、用户动态行为数据、心理特征数据、情境感知数据、社交网络数据5个维度作为数据来源,基于用户画像技术构建数据来源层、数据处理层、用户数据仓库、精准应用层,打造在线服务推送、个性化推荐、用户流失预警、用户关系管理、场景化服务的服务特色。[结果/结论] 虽然用户画像技术对于用户精准服务有重大的利用价值,但是用户隐私安全也应当考虑在内。所以从技术、用户意识与隐私政策、多维度的角度保护用户隐私,加上用户画像技术在图书馆的实施,通过这些措施达到图书馆精准服务的目标。

关键词: 用户画像, 服务模型, 精准服务, 隐私安全

Abstract: [Purpose/significance] Constructing a precise service model based on user portraits, provides library a reference to perform precise services for users, and provide a new direction for the library industry to carry out precision services.[Method/process] Based on the five dimensions of user basic data, user dynamic behavior data, psychological feature data, context-aware data and social network data, service features of online service push, personalized recommendation, user churn warning, user relationship management and scene service have been created based on data source layer, data processing layer, user data warehouse and precision application layer.[Result/conclusion] Although user portrait technology has significant value for users' accurate services, user privacy should also be considered. Therefore, from the perspective of technology, user awareness and privacy policy, multi-dimensional protection of user privacy, and the implementation of user portrait technology in the library, through these measures to achieve the goal of library precision services.

Key words: user portrait, service model, precision service, privacy security

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