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

  • Yu Xingshang ,
  • Wang Yingsheng
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  • 1. Guangzhou College of Technology and Business, Fushan 528100;
    2. Information Resource Management, Research Center School of Information Management, Heilongjiang University, Harbin 150080

Received date: 2019-01-02

  Revised date: 2019-03-30

  Online published: 2019-11-20

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.

Cite this article

Yu Xingshang , Wang Yingsheng . Research on the Construction of Library Precision Service Model Based on User Portrait[J]. Library and Information Service, 2019 , 63(22) : 41 -48 . DOI: 10.13266/j.issn.0252-3116.2019.22.005

References

[1] 刘庆麟.基于小数据的图书馆精准服务研究[J].图书馆工作与研究,2017(5):45-50.
[2] 孙彤.以知识的信息(KBI)为视角论医院图书馆精准化学科服务[J].图书馆工作与研究,2016(9):59-62.
[3] 赵洪波.基于RFM模型的高校图书馆精准服务研究[J].情报探索,2016(12):26-32.
[4] 牛勇.图书馆精准服务研究[J].图书馆学研究,2016(5):50-56.
[5] 陈淑英,张艳花,山洁,等.基于"图书足迹"的高校图书馆精准服务模型构建及应用研究[J].图书馆杂志,2017(1):71-74.
[6] 马晓亭.大数据时代图书馆个性化智慧服务QOS保障研究[J].图书馆理论与实践,2016(2):38-41.
[7] 赵宁,张玲,唐振宇.移动互联网时代下高校图书馆学科服务[J].高校图书馆工作,2016(2):67-70.
[8] 李剑."互联网+"环境下高校图书馆精准化学科服务的构建[J].图书馆研究与工作,2017(3):83-85.
[9] 胡媛,毛宁.基于用户画像的数字图书馆知识社区用户模型构建[J].图书馆理论与实践,2017(4):55-57.
[10] 丁伟,王题,刘新海,等. 基于大数据技术的手机用户画像与征信研究[J].邮电设计技术,2016(3):45-96.
[11] 刘海,卢慧,阮金花,等. 基于"用户画像"挖掘的精准营销细分模型研究[J].丝绸,2015(12):1-6.
[12] 赵曙光.高转化率的社交媒体用户画像:基于500用户的深访研究[J].现代传播:中国传媒大学学报,2014, 36(6):115-120.
[13] 刘海鸥,孙晶晶,苏妍姬,等. 基于用户画像的旅游情境化推荐服务研究[J]. 情报理论与实践,2018(5):58-61.
[14] 张钧. 基于用户画像的图书馆知识发现服务研究[J].图书与情报,2017(6):56-65.
[15] 潘宇光.校智慧图书馆读者信息需求的用户画像[J].合肥工业大学学报(社会科学版),2018(2):113-119.
[16] 陈添源.高校移动图书馆用户画像构建实证[J].图书情报工作,2018,62(7):85-90.
[17] 刘海鸥,黄文娜,谢妹琳. 面向情境化推荐服务的图书馆用户画像研究[J].图书馆学研究,2018(20):58-62.
[18] GANDOMI A,HAIDER M.Beyond the hype:big data concepts, methods, and analytics[J].International journal of information management, 2015, 35(2):137-144.
[19] ZOU H, CHEN H M, DEY S.Understanding library user engagement strategies through Large-Scale Twitter analysis[C]//IEEE first international conference on big data computing service and applications. Washingten, DC:IEEE computer society, 2015:361-370.
[20] 王伯恭.中国百科大词典[M].北京:中国大百科全书出版社,1999:20.
[21] LAITINEN M, SAARTI J. A model for a library-management toolbox:data warehousing as a tool for filtering and analyzing statistical information from multiple sources[J].Library management,2012(4/5):253-260.
[22] 杨宁,黄婷婷. 基于Spark的大数据分析工具Hive的研究[J]. 计算机时代,2018(11):1-8.
[23] GEYER-SCHULZ A,NEUMANN A,THEDE A. An architecture for behavior-based library recommender systems[J].Information technology and libraries,2003,22(4):165-174.
[24] 李政.基于用户生命周期的图书馆用户管理研究[J].图书馆建设,2008(11):18-23.
[25] 黄晓斌,朱俊卿.数字图书馆用户的心理研究[J].图书馆学研究,2006(1):185-193.
[26] 孟小峰,慈祥.大数据管理:概念、技术与挑战[J].计算机研究与发展,2013,50(1):146-169.
[27] 潘浩,张幸.一种基于自主计算的数字图书馆个性化服务隐私保护框架[J].图书情报工作,2009,53(11):75-77.
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