Research on the demand of game Industry Talent based on Online recruitment

Based on 6488 recruitment data of game enterprises with more than 100 employees in Beijing, Shanghai, Guangzhou, Shenzhen and Xiamen in January 2025, this study collected and analyzed the job classification, keywords and responsibility information through web crawler technology. Combined with TF-IDF algorithm and LDA topic model (K=9), The game industry professional skill dictionary and the general skill dictionary are constructed. The results show that: (1) the jobs of technology, product and design account for more than 70%, and the industry has an urgent demand for game engine technology (UE5/UE4/Unity3D), 3D modeling tools (Blender/Maya) and system planning ability (numerical/level design); (2) The proportion of bachelor's degree was 59.9%, which became the benchmark for industry access threshold; (3) The general skills of 9 job categories generated by the LDA model cover the dimensions of teamwork, data-driven, and overseas operation. Based on this, a three-dimensional recommendation system is proposed: job seekers need to strengthen engine technology and cross-field collaboration ability; Colleges and universities should add practice-oriented courses and deepen school-enterprise cooperation. Industry associations should establish a standardized talent certification system to promote international technical exchanges. This study provides data support for the quantitative evaluation of game talents' ability and the optimization of training paths.

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Published
2025-03-28
DOI
https://doi.org/10.1145/3745238.3745522
Primary Topic
Human Resource and Talent Management
Type
article
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Research on the demand of game Industry Talent based on Online recruitment

Y Zhang, Z.L. Li
Human Resource and Talent Management
article

Research on the demand of game Industry Talent based on Online recruitment

Y Zhang, Z.L. Li
article en

Abstract

Based on 6488 recruitment data of game enterprises with more than 100 employees in Beijing, Shanghai, Guangzhou, Shenzhen and Xiamen in January 2025, this study collected and analyzed the job classification, keywords and responsibility information through web crawler technology. Combined with TF-IDF algorithm and LDA topic model (K=9), The game industry professional skill dictionary and the general skill dictionary are constructed. The results show that: (1) the jobs of technology, product and design account for more than 70%, and the industry has an urgent demand for game engine technology (UE5/UE4/Unity3D), 3D modeling tools (Blender/Maya) and system planning ability (numerical/level design); (2) The proportion of bachelor's degree was 59.9%, which became the benchmark for industry access threshold; (3) The general skills of 9 job categories generated by the LDA model cover the dimensions of teamwork, data-driven, and overseas operation. Based on this, a three-dimensional recommendation system is proposed: job seekers need to strengthen engine technology and cross-field collaboration ability; Colleges and universities should add practice-oriented courses and deepen school-enterprise cooperation. Industry associations should establish a standardized talent certification system to promote international technical exchanges. This study provides data support for the quantitative evaluation of game talents' ability and the optimization of training paths.

Foshan University (CN)
Openalex Percentile: Top 78%
Human Resource and Talent Management
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