Research on Personalized Resource Recommendation of Artificial Intelligence Specialty Based on Big Data

DOI

10.2991/978-94-6463-034-3_8How to use a DOI?

Keywords

Big data; artificial intelligence major; personalized resource recommendation; learning behaviour portrait; ant colony algorithm

Abstract

With the advent of the era of big data, the application of big data technology in the cultivation of artificial intelligence professionals has accelerated the integration of industry and education, which is of great significance to the cultivation of applied talents. With the rapid development of big data technology, the deep integration of big data and education has become an inevitable trend. We comb the shortcomings of the current undergraduate talent training mode of artificial intelligence. Based on the big data thinking mode, we collected student behaviour data, constructed data collection model and student learning behaviour portrait, and constructed personalized resource recommendation model based on multi-dimensional resource pool. Here, an effective learning resource recommendation algorithm based on ant colony algorithm is designed to realize accurate resource integration and push. Through the application verification, it can be seen that the resource recommendation path based on the current method coincides with the actual use path of learners, which has certain practicability and can meet the actual needs of students at different learning levels, so as to improve the efficacy of students’ autonomous learning.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ning Jia
AU  - Chunjun Zheng
PY  - 2022
DA  - 2022/12/23
TI  - Research on Personalized Resource Recommendation of Artificial Intelligence Specialty Based on Big Data
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 57
EP  - 65
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_8
DO  - 10.2991/978-94-6463-034-3_8
ID  - Jia2022
ER  -