Data collection and talent demand analysis of recruitment website based on principal component analysis

Jihui Fan; Fengshan Yuan

doi:10.1117/12.2667708

28 March 2023 Data collection and talent demand analysis of recruitment website based on principal component analysis

Jihui Fan, Fengshan Yuan

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 1256619 (2023) https://doi.org/10.1117/12.2667708
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

The talent structure has been flattened, from the pyramid talent structure to the olive talent structure. Jobs are more complicated, industries are upgraded from low-end to high-end, and the situation faced by jobs is more complex. Talent specification compounding, industry understanding, data thinking, programming ability, innovative thinking and comprehensive problem-solving ability. With the rapid development of science and technology, the demand for social talents is constantly changing, and the big data wave is coming,How to match the talent training of the school with the talent demand of the society. This paper uses the crawler technology to obtain data from the recruitment website, through data collection, cleaning, and data preprocessing, and finally carries out data analysis and visual display.

Citation Download Citation

Jihui Fan and Fengshan Yuan "Data collection and talent demand analysis of recruitment website based on principal component analysis", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 1256619 (28 March 2023); https://doi.org/10.1117/12.2667708

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