Library user digital profiling: The structural and functional approach. (Part II)

Author:

Kapterev A. I.1ORCID

Affiliation:

1. Russian National Public Library for Science and Technology; Russian State Library; Moscow City Pedagogical University

Abstract

The article continues on the topic raised in the Part I. In the Part I, the model library user digital profile (DP) is introduced, and the options for its structuring and application are discussed. The following issues are examined: a) user digital profile structure with specifying the layers, namely, subject, object, domain, communications, – and b) layer function – identification, clusterization, filtration, or collaboration. While the DP subject and object layers and the dominating factors were discussed in the Part I, the Part II details the DP domain and communications layers which would enable to meet library user information needs proactively.The article is prepared under the Government Order to RNPLS&T No. 1021062311368-2-5.8.3 “Development of e-librarianship as a scientific and academic discipline in the circumstances of transforming library collections, reference and bibliographic and document services in the digital environment” (FNEG-2022-0004) for 2022-2024.

Publisher

State Public Scientific-Technical Library

Reference34 articles.

1. Kapterev A. I. Tcifrovoi` profil` pol`zovatelia bibliotek: strukturno-funktcional`ny`i` pod-hod. (Chast` 1) // Nauchny`e i tekhnicheskie biblioteki. 2024. № 7. S. 82–102.

2. Strategicheskoe napravlenie v oblasti tcifrovoi` transformatcii otrasli kul`tury` Ros

3. sii`skoi` Federatcii do 2030 goda. Utv. rasporiazheniem Pravitel`stva Rossii`skoi` Federatcii ot 11 dekabria 2023 g. № 3550-r.

4. Red`kina N. S. Tekhnologii internet-marketinga dlia personalizatcii bibliotechnogo obsluzhivaniia // Informatcionny`i` Biulleten` RBA. 2015. № 75. S. 21–23. EDN UXKJVD.

5. Shevchenko L. B. Tekhnologiia rekomendatcii` kak sredstvo personalizatcii bibliotechny`kh sai`tov // Informatcionny`e resursy` Rossii. 2019. № 2 (168). S. 14–16. EDN HDRJRF.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3