2021
DOI: 10.1155/2021/2030991
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Research on the Training Model of E‐Commerce Professionals Based on Big Data Analysis

Abstract: In a new era of booming information technology, E-commerce has become an important developing country in China, and parents and students have gradually welcomed this profession. In the information age, how to improve the quality of training in professional higher education and then meet the employment needs of industries and enterprises has become a key issue for higher vocational education in China. This article mainly studies the E-commerce professional talent training model based on identity inheritance. Th… Show more

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Cited by 4 publications
(2 citation statements)
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“…Education and curriculum design must ensure that the students have the skills, knowledge, features, and expertise essential to engage in business, suggest a solution, and provide student employment ( Board of Investment, 2019). Similar to the study conducted in China by Lin et al (2021) mentioned that the main goal of modern apprenticeship training institutions, which were developed in partnership with businesses and schools, is to successfully develop students' professional talents in e-commerce under the direction of teachers.…”
Section: The Collaborative Of Education and Enterprise: Apprenticeshipmentioning
confidence: 82%
“…Education and curriculum design must ensure that the students have the skills, knowledge, features, and expertise essential to engage in business, suggest a solution, and provide student employment ( Board of Investment, 2019). Similar to the study conducted in China by Lin et al (2021) mentioned that the main goal of modern apprenticeship training institutions, which were developed in partnership with businesses and schools, is to successfully develop students' professional talents in e-commerce under the direction of teachers.…”
Section: The Collaborative Of Education and Enterprise: Apprenticeshipmentioning
confidence: 82%
“…Therefore, image classification can be seen as the process of completing the mapping from the "feature space" to the "category space". After years of development, image classification has proposed many effective learning models, including BP networks, support vector machines, and deep learning networks [4]. The BP network uses a sample set to train the network, thereby obtaining the rules within it.…”
mentioning
confidence: 99%