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Optimization of Personalized Service System for Student Work in Smart Campus Colleges and Universities with the Aid of Artificial Intelligence

Zhenzhen Hu

Zhenzhen Hu

College of Arts and Humanities, Sichuan Fine Arts InstituteChongqing, China
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Hu, Zhenzhen
 and 
Tao Zhou

Tao Zhou

Department of Public Administration, Daegu Catholic UniversityDaegu, Korea
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Zhou, Tao
  
Mar 17, 2025
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Published Online: Mar 17, 2025
Received: Nov 04, 2024
Accepted: Feb 14, 2025
DOI: https://doi.org/10.2478/amns-2025-0292
Keywords
© 2025 Zhenzhen Hu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

LSTM model based on a two-way DTW algorithm
LSTM model based on a two-way DTW algorithm

Figure 2.

Student employment recommendation work personalized service system
Student employment recommendation work personalized service system

Figure 3.

System function module diagram
System function module diagram

Figure 4.

B/S trilaminal structure diagram
B/S trilaminal structure diagram

Figure 5.

The training set and the test set iterate 200 rounds
The training set and the test set iterate 200 rounds

Figure 6.

Four group model evaluation index results
Four group model evaluation index results

Figure 7.

The accuracy rate of different recommendations is the result
The accuracy rate of different recommendations is the result

Figure 8.

Students’ employment recommendation unit weighted scores
Students’ employment recommendation unit weighted scores

Figure 9.

Average satisfaction mean normal Q-Q diagram
Average satisfaction mean normal Q-Q diagram

Figure 10.

The overall average satisfaction score is the normal distribution
The overall average satisfaction score is the normal distribution
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