Gen Z image and precision analysis of online games big data based on the web crawler technology

Yingjue Ma; Huijun Ni

doi:10.1117/12.3004282

11 October 2023 Gen Z image and precision analysis of online games big data based on the web crawler technology

Yingjue Ma, Huijun Ni

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128002G (2023) https://doi.org/10.1117/12.3004282
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

In this paper, big data of Gen Z new media by relevant technology is collected and analyzed, and the structure of Gen Z employee image is structured and described, making group characteristics of enterprise employees and the precision information push possible. This study efficiently collects, integrates, and analyzes data, and more accurately reflects users’ preferences to meet the needs of today's growing Gen Z market with Beautiful Soup, as well as Python and other algorithms. We calculate the optimal number of clusters with the K-prototype clustering algorithm through the silhouette coefficient based on big data. The results provide a solution for tracking the user's dynamic data and accurate preferences and interests.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yingjue Ma and Huijun Ni "Gen Z image and precision analysis of online games big data based on the web crawler technology", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128002G (11 October 2023); https://doi.org/10.1117/12.3004282

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