Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)

Construction of Sharing Mode based on VR Technology under the Background of Big Data

Authors
Yi Qiyq123qyn@163.com, Gen Jincheng
Yichun vocational and technical college, Yichun City, Jiangxi Province, 336000, China
Corresponding Author
Available Online 2 June 2022.
DOI
10.2991/ahis.k.220601.045How to use a DOI?
Keywords
big data; Information services; VR technology; Sharing mode
Abstract

With the continuous improvement of information technology, readers’ demand for information has also changed fundamentally. The function of the library as an information document center has also changed from “collection” to “use”, and colleges and universities are gradually developing to the campus cultural information center. The application of various network technologies and vr virtual technology in university services has greatly improved the utilization efficiency of library information resources. This paper studies the construction of VR technology sharing mode based on big data. This paper puts forward some opinions on the construction of information service mode of University Library Based on VR technology.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 June 2022
ISBN
10.2991/ahis.k.220601.045
ISSN
2589-4919
DOI
10.2991/ahis.k.220601.045How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Yi Qi
AU  - Gen Jincheng
PY  - 2022
DA  - 2022/06/02
TI  - Construction of Sharing Mode based on VR Technology under the Background of Big Data
BT  - Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)
PB  - Atlantis Press
SP  - 233
EP  - 238
SN  - 2589-4919
UR  - https://doi.org/10.2991/ahis.k.220601.045
DO  - 10.2991/ahis.k.220601.045
ID  - Qi2022
ER  -