Abstract
With the advent of the information age, digital marketing models have begun to receive attention and to have applications in many industries. Although the digital marketing model has thus become a hot spot in the sales world, there is still not enough research on digital marketing. In order to optimize brand digital marketing under internal and external security control based on the machine learning classification algorithm, this paper uses fuzzy system theory to perform fuzzy analysis on various experimental data studied, convert it into a fuzzy set, obtain the fuzzy solution of the related function, establish related models of machine learning classification algorithms, and identify and collect relevant experimental data in an intelligent way, saving time for data collection. This paper collects the customer characteristics, customer sensitivity, brand promotion, and brand revenue of a brand within seven days; then uses the classification algorithm and collected data to predict and analyze the future data results; and uses the machine learning classification algorithm model formula to solve the correlation function. The final experimental results show that, in the digital marketing mode, network marketing brings 75% of the benefits to the brand, which is the highest among the four digital marketing models, and it has the best brand publicity level, 45%. At the same time, customers’ sensitivity to the brand reaches 50% under the network marketing model.
Highlights
The rapid development of the Internet has caused the artificial intelligence technology to be widely used in social life
It can be seen from the concept of the word risk that risk itself is uncertain, people’s own cognitive ability is limited, and they cannot fully understand the emerging technologies produced in the high-tech era, especially the network security problem based on machine learning classification algorithm [1]
Based on the research experience of previous scholars, we propose a digital marketing method based on machine learning classification algorithm in this article
Summary
Analyzed the application of network-based technology support companies in the field of digital marketing [7], but the operation of the research was too cumbersome. Based on the research experience of previous scholars, we propose a digital marketing method based on machine learning classification algorithm in this article. Is article uses machine learning classification algorithms to analyze brand digital marketing in the context of smart cities and collects and calculates relevant data to obtain the final result. 2. Digital Marketing Based on Machine Learning Classification Algorithms in the Context of Smart Cities. E field of machine learning aims to develop computer algorithms that can be improved with experience. Its publicity is very much humanized, and its good interactive effect can help the company quickly adjust the content and communication strategy, and have a significant impact on product updates
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