Due to the rapid development of current computer technology, the Internet of Things (IoT) has also received good development opportunities, which has promoted the advancement of Big Data (BD) and artificial intelligence technology to a certain extent, and also made people put forward different requirements for travel. To better satisfy the new demands of current tourists and provide better and thoughtful services for tourists, this paper has conducted an in-depth discussion on smart tourism BD and established a set of smart tourism BD mining model based on edge effects. Through experiments, it was found that the model is more powerful for information mining. Compared with the traditional model, the coverage of resources, transportation, food, accommodation, entertainment and other information in this model has increased by 11656, 13797, 9052, 11013, 13663 and 7388 items respectively. In addition, the improvement of the accuracy of information mining in this model is more conducive to the tourism platform to develop marketing plans, improve user satisfaction with tourism services, and enhance the better growth of smart tourism and the improvement of tourism economic benefits. Among them, the building of the BD mining model under the edge effect in this paper can better enrich the scope of the IoT technology and promote its better development.
