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Framework Design of Intelligent Career Recommendation System for Undergraduates
2022 IEEE International Conference on Intelligent Education and Intelligent Research, IEIR 2022 ; : 256-261, 2022.
Article in English | Scopus | ID: covidwho-2269389
ABSTRACT
The development of artificial intelligence technology has proudly enhanced the quality of life and education of students. The outbreak of COVID-19 in early 2020 dealt a huge blow to the world economy and workplace environment, therefore planning a career path before graduation is a primary and core task for undergraduate students to succeed in this era. This paper introduces the framework design of an intelligent career recommendation system, which is based on the analysis of the required career ability and students' individual ability to achieve accurate career recommendations. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2022 IEEE International Conference on Intelligent Education and Intelligent Research, IEIR 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2022 IEEE International Conference on Intelligent Education and Intelligent Research, IEIR 2022 Year: 2022 Document Type: Article