The Analysis of Opportunities of the Application of Big Data and Artificial Intelligence Technologies in Public Governance and Social Policy

With the rapid development of the Internet and social economy, in the process of online shopping, a series of problems frequently occur, the most serious of which is tort and rights protection, but laws and regulations often lag behind the development of e-commerce transactions. Artificial intelligence technology embodies the exchange and use of digital information, which is an inevitable trend in the development of modern society. The research object of this research is students. Based on the connotation and significance of artificial intelligence technology, it aims to put forward effective solutions and suggestions to the law problems that arise in the online shopping process of students through some data analysis obtained by artificial intelligence technology, so as to provide reference for guiding student groups to form correct consumption concepts and promoting relevant institutions to maintain a safe and reasonable online shopping mechanism and platform environment. According to the above goals, this research combines the Agent technology in the field of artificial intelligence, proposes and builds a legal protection system framework that meets the requirements of online shoppers, discusses how to use the law to regulate infringement and rights protection in the process of online shopping, and has implications for improving the legal system in the process of online shopping.

Section: Related Workmentioning

confidence: 99%

Construction of Online Shopping Legal Protection Mechanism Based on Artificial Intelligence Technology

Yan¹,

Zhang²

2022

“…Parameter sharing exists in feature maps. Each feature map in level 2 will detect the same feature map in level 1 [15]. e same idea is represented as a network-specific weight sharing with bound weights (i.e., weight distribution) as shown in Figure 1: 3.3.…”

Section: Roll-up Neural Networkmentioning

confidence: 99%

“…Here, the calculation can be simplified by back propagation method. In mathematics, the partial derivative of a function of multiple variables is its derivative with respect to one of the variables while keeping the others constant (as opposed to the full derivative, in which all variables are allowed to vary), as shown in formula (15).…”

Section: Roll-up Neural Networkmentioning

confidence: 99%

Promotion and Influence of Big Data and Artificial Intelligence in Field of Drama and Film

2022

As a member of the oldest art family of human beings, drama is also a very important part of human civilization. With the development of technology, more and more types of drama film and television appear. In today’s society, bad films and commercial films are emerging one after another. The intervention of capital has brought a very poor experience to moviegoers and is not conducive to the development of the entire field of drama and film. The further development and scientific promotion of the field of drama film and television has become a relatively important issue. In this context, this paper takes this as the starting point, integrates big data and artificial intelligence algorithms, and aims to analyze the promotion and influence in the field of drama and film. It has existed for a long time in the fields of physics, biology, environmental ecology, and other industries such as military, finance, and communication, but it has attracted people’s attention due to the development of the Internet and information industry in recent years. The article introduces the transition of the mainland film system and the manifestations of conflict in plot art and film and television plots. It uses the convolutional neural network algorithm in deep learning to build the system. This paper adopts an online survey, distributes it to moviegoers nationwide, and collects 4,000 valid samples for analysis of moviegoers’ occupation and monthly income. In terms of the occupational distribution of the audience, the proportion of white-collar workers in the company is the highest at 40%, the student group only accounts for 17.4%, and the retired worker group accounts for the smallest proportion, at 0.6%. To sum up, the structure of Chinese films has shifted from a younger, student-dominated, middle-income group to a mature, workplace-oriented, middle- and high-income group. It has successfully completed the analysis of the promotion and impact of big data and artificial intelligence in the field of drama, film, and television.

“…After analyzing and identifying the data, it is necessary to implement machine learning, so that the machine can grow itself, and finally achieve intelligence [25].…”

Section: Actionmentioning

confidence: 99%

Wisdom Tourism Management Mode in the Background of Big Data of the Internet of Things

Huang

Wen

Song

2022

Since the rapid development of the global economy, tourism has become an indispensable entertainment and relaxation item in people’s lives. However, the traditional tourism management mode is slow in conveying tourism information, and there is no reasonable planning of tourism projects for tourists, and it is even more difficult to accurately locate the travel preferences of travelers and make specific travel plans, so that travel resources cannot be fully utilized. Therefore, the Internet of Things big data technology and travel management are combined. For this reason, a wisdom tourism management model based on the big data background of Internet of Things (IoT) is developed. In order to timely arrange and adjust work and travel plans, wisdom tourism makes use of cloud computing, IoT, and other new technologies, with the help of portable mobile terminal devices, so that the tourists can receive timely information about tourism resources, tourism activities, and tourism surroundings to achieve intelligent perception of tourism information, timely arrangement effect. Wisdom tourism can make use of undeveloped tourism resources as much as possible and drive the development of surrounding industries, and promote the economic development of tourist areas. This paper mainly compares the smart tourism management mode with the traditional tourism management mode. The experiment shows that the development degree of the wisdom tourism management mode accounts for 82.8% of the total tourism resources. The traditional tourism management model is only 70.1%, and the GDP of the economy around the tourist area in the wisdom tourism management model in one year is 1.4 times higher than that of the traditional tourism management model. In terms of tourism experience, the wisdom tourism management model is also much better than the traditional tourism management model. And the lower the average age of the experimenter, the higher the favorability of wisdom tourism, up to 98%. It highlights the advantages of the wisdom tourism management model in personalized tourism, tourism development, and surrounding economic growth.