In the context of circular economy, tourism resources development and integrated marketing need to interact with multiple businesses, data processing with big data technology, and in the information age, the best means of integrated marketing is to integrate business through an information platform. The research purpose of this article is to improve the intelligence of the tourism platform by constructing an OR model, integrate information and improve the data processing effect in an all-round way through data mining.
This study builds the business interaction in the form of OR (operations research model) model and combines this model with the e-commerce platform to build an online travel consumption model based on the user's online operation mode.
With the development of the times and the upgrading of industries, tourism and other industries have provided new tourism resources and tourism methods for human beings by virtue of the beautiful environment, special experiences and colorful stories and related industries have been related to the tourism industry based on natural resources, customs and folklore and agricultural experiences. By identifying important nodes with high connectivity in the social network, the weighted centrality algorithm can mine the importance of interest tags.
In addition, this research builds a test platform for model performance analysis and integrates various factors. The results show that the model constructed in this study can further promote the development of tourism, improve the efficiency of tourism resources, provide marketing effects and meet the circular economy theory.
