Research on Personalized Resource Recommendation of Artificial Intelligence Specialty Based on Big Data
- 10.2991/978-94-6463-034-3_8How to use a DOI?
- Big data; artificial intelligence major; personalized resource recommendation; learning behaviour portrait; ant colony algorithm
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.
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Cite this article
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 -