Big Data Analysis of Tourism Information Under Intelligent Collaborative Management

Given the problems of low accuracy and long time delay in the traditional intelligent collaborative processing of tourism information, this paper proposes an intelligent collaborative method of tourism information based on big data analysis. It analyzes the intelligent collaborative system of tourism information under big data, analyzes the non-linear time series of tourism information collaboration according to the analysis results of time-series network data, and fits the results according to big data Based on the analysis of the data law, the characteristics of collaborative tourism, such as tourism characteristics, tourism similarity, tourism filtering and so on, are calculated to improve the timeliness of the system Experiments show that the intelligent collaborative method of tourism information based on big data analysis has strong anti-interference ability and timeliness, and the strategy of studying and judging the massive information of big data analysis is high. It can classify the tourism information quickly and accurately, and extract the tourism products needed by users. The design of the system meets the needs of the tourism system for the processing of big data analysis information.