| Abstract |
Association analysis and intelligent extraction of urban big data are the key to the construction of smart cities. By constructing an immersive interactive analysis environment for real cities, the complex urban big data and data mining results are presented to users in a visual and intuitive way, allowing users to visually understand. Obtaining the information contained in the data and interacting with each other in a way to achieve the organic integration of human intelligence and machine intelligence are an effective way to solve complex urban problems. With the development of big data and cloud-driven technology, marketing methods have undergone tremendous changes, and automated marketing has become the future trend. In order to understand the influencing factors and effects of marketing automation in a healthy and smart city, this paper designs a comparative experiment, takes the online retail industry as an example, takes big data as the basis and procedural purchase technology as the guarantee, realizes the purpose of real-time optimization of advertising information content, and finally realizes the automatic marketing process, and comparing big data and cloud-driven learning technology with other algorithms highlights the necessity of this paper. The results of the study found that under the big data and cloud-driven technology, the customer retention rate is around 23%, which is much higher than that of other algorithms, and the sales are also much higher than other algorithms. This shows that big data and cloud drives have an important impact on marketing automation. |
