Satisfaction Evaluation and Optimization of Tourism E-Commerce Users Based on Artificial Intelligence Technology

Intelligent Agent is a new method of designing and developing software system. Agent-based processing technology has become a new breakthrough in the development of software engineering and a new revolution in software. The relationship between user satisfaction and tourism e-commerce function is discussed, and the relationship between user satisfaction and the purpose of tourism e-commerce supplier is tested. Web data mining is one of the key technologies to realize Web personalized service. Through the analysis of tourists' behavior (interest), the corresponding model is established to provide personalized service for users according to the model. The traditional tourism industry is obviously unable to comply with the development trend, and the corresponding industrial structure transformation and upgrading is necessary. With the advent of the era of personalized information services, the personalized service provided by the tourism e-commerce environment is also of great significance and practical value for improving the satisfaction of tourists and the competitiveness of merchants. This paper analyzes the reasons that affect the customer satisfaction of tourism e-commerce, and proposes corresponding countermeasures.