Analysis of the Coping Path of College Education Under Algorithm Recommendation Technology

Meiyan Tian

2025

Abstract

This study first conducted an in-depth analysis of the characteristics of virtual space, and then explored the importance of algorithm recommendation technology in virtual space path analysis. By comparing and analyzing different algorithm recommendation techniques, this study proposes a deep learning based algorithm recommendation model that can better adapt to user needs and improve recommendation accuracy. Finally, this study validated the effectiveness of the proposed algorithm recommendation model through experiments. The experimental results showed that the model can significantly improve the information retrieval efficiency of users in virtual space, thereby improving the user experience..

Paper Citation

in Harvard Style

Tian M. (2025). Analysis of the Coping Path of College Education Under Algorithm Recommendation Technology. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 405-410. DOI: 10.5220/0013544400004664

in Bibtex Style

@conference{incoft25,
author={Meiyan Tian},
title={Analysis of the Coping Path of College Education Under Algorithm Recommendation Technology},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={405-410},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013544400004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Analysis of the Coping Path of College Education Under Algorithm Recommendation Technology
SN - 978-989-758-763-4
AU - Tian M.
PY - 2025
SP - 405
EP - 410
DO - 10.5220/0013544400004664
PB - SciTePress