Innovation of Talent Quality Evaluation Based on VR Big Data

DOI

10.2991/978-94-6463-044-2_122How to use a DOI?

Keywords

VR; big data; Talent quality assessment; fuzzy sets

Abstract

With the advent of the era of big data, it brings new development to the talent quality evaluation most closely related to data in human resource management. Compared with the real world, the immersive experience brought by virtual reality technology makes the evaluation means more perfect, and effectively avoids the subjective social expectation effect and human error brought by individual and test tools. The combination of big data and virtual reality fuzzy sets and other algorithms in big data mining are used solves the problem of inaccurate traditional evaluation tools and single data dimension, has a huge impact on the traditional talent evaluation concept, makes the evaluation data dimension more comprehensive, the results break through the time limit, and predict the future development behavior of talents in a dynamic and continuous way.

Copyright

© 2022 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Liqun Gu
AU  - Meng Fang
PY  - 2022
DA  - 2022/12/27
TI  - Innovation of Talent Quality Evaluation Based on VR Big Data
BT  - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
PB  - Atlantis Press
SP  - 972
EP  - 979
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-044-2_122
DO  - 10.2991/978-94-6463-044-2_122
ID  - Gu2022
ER  -