Study about Intelligent Aviation Innovation Service Based on Artificial Intelligence Technology

Abstract

With the continuous development and advancement of science and technology, artificial intelligence has developed into various industries, and the service industry is constantly integrating with artificial intelligence. Based on the research and analysis of traditional item-based collaborative filtering algorithms, this paper summarizes the advantages and disadvantages of existing recommendation algorithms, and proposes a co-occurrence matrix calculation based on decision tree learning algorithm. The algorithm mainly combines the calculation of the co-present value and the actual situation of civil aviation airports with the decision tree learning algorithm, and considers the influence of factors such as the age, gender, current operating time and current temperature of airport passengers on the browsing time of airport passengers, and then on the airport. The type of passenger browsing time is predicted to realize the optimization of the co-occurrence matrix.