摘要
通过文献梳理和实际调查发现,用户画像在图书馆个性化服务应用中存在以下问题:因未对用户兴趣习惯等进行辨识而导致过度服务的问题;因单纯注重用户对服务的采纳程度导致知识服务“内卷”的问题;因忽视用户历史画像导致无法提供符合用户成长规律的服务问题。基于此,本文提出通过标签辨识、标签关联和标签演化分析,实现服务分级、服务迁移和服务拓展,通过多路反馈优化服务评价,以有效改善基于用户画像的图书馆个性化服务质量,提升服务效率和用户满意度。
Through literature review and practical investigation,it is found that the library personalized service based on user portrait mainly has the following problems:the problem of over service due to the lack of identification of users’interests and habits;The problem of“involution”of knowledge service is caused by simply paying attention to the user’s adoption of service;Due to the neglect of the user’s historical portrait,it is unable to provide problems in line with the user’s growth law,etc.Based on this,this paper proposes to realize service classification,service migration and service expansion through label identification,label association and label evolution analysis,and optimize service evaluation through multi-channel feedback,so as to effectively improve the personalized service quality of library based on user portrait and improve service efficiency and user satisfaction.
作者
王丽
谭凯波
黄云
WANG Li;TAN KaiBo;HUANG Yun(College of Tourism and Management Engineering,Jishou University,Zhangjiajie 427000,China;Software College,Jishou University,Zhangjiajie 427000,China;Jishou University Library,Zhangjiajie 427000,China)
出处
《数字图书馆论坛》
CSSCI
2021年第10期66-72,共7页
Digital Library Forum
基金
吉首大学学成返校博士科研资助经费研究项目“近似子图查询算法研究”(编号:jsdxxcfxbskyxm201714)资助。
关键词
用户画像
个性化服务
图书馆
服务迁移
知识成长服务
User Portrait
Personalized Service
Library
Service Migration
Knowledge Growth Service
