Abstract

In recent years, many cities improve their brand awareness by holding sports events, but the traditional service mode of sports events cannot meet the needs of people at present. Through artificial intelligence and big data technology to improve and strengthen the service ability of event organizers is one of the current mainstream trends. However, there are not many practical application cases at present, so this paper puts forward the application research based on artificial intelligence and big data in sports event service, Taking Guilin as an example. This paper makes an in-depth investigation and Research on the demand of different ticket holders for the event service in Guilin. Through the analysis of the survey results, it can be seen that different ticket holders have different demand points for the event service. However, in the traditional service mode of sports events, it is difficult to meet the needs of users due to the lack of data support. In view of this, according to the characteristics of sports event service, combined with artificial intelligence and big data technology, this paper puts forward optimization and improvement measures. By improving the information gain in big data mining, this measure simplifies the algorithm and makes the calculation results more in line with the actual needs of sports event services. Analysis shows that under the background of information age, artificial intelligence and big data technology can further improve the comprehensive ability of China’s sports event service, meet the needs of users, and promote the development of sports.

Full Text
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