“Tourism Policies and Regulations” is a basic professional course for tourism majors, which aims to train students to abide by laws and regulations, improve professionalism, and protect tourism interests. This article explores the selection of informatization platform, informatization teaching design, and diversified evaluation system in the process of teaching practice, and uses informatization teaching methods to change the teaching methods and status of teachers, enrich the course content, and improve students’ class participation and so on, and then cultivate tourism professional informatization talents who can meet the development needs of new tourism industry.

Chinese traditional culture is the root and soul of the Chinese nation, the soft power of the national culture, and the source to strengthen cultural confidence. As an important part of traditional Chinese culture, folk culture is the basis for telling Chinese stories well. Folk cultural heritage is the golden name card of national culture going to the world, and protecting and inheriting it is an important mission given by the new era. The important discussion on cultural heritage protection is not only a scientific inquiry into the practice of cultural heritage protection, but also points out the direction for cultural tourism to help poverty alleviation work.

Scenic area is a product of the improvement of living standards and the improvement of economic level. Many types of scenic spots have been developed in most areas. The development of scenic spots will affect the economic development level of a region, and it will also affect the living standards of local residents because the construction of scenic spots will consume a lot of financial and human resources. If the scenic area can be managed well, it will bring greater economic benefits to the local area. However, if the scenic area fails to operate, it can affect the local finances. This requires local managers to be able to grasp the development of the scenic area, which will avoid abnormal performance. However, the performance management of scenic spots is more difficult for local managers, and more cumbersome data will be involved here. This study uses the convolutional neural network (CNN) method to realize the image recognition technology of the characteristics of the scenic area’s flow of people and tourists’ preferences, and these characteristics will be displayed to the managers in the form of images. In this study, the collaborative filtering algorithm can be used to complete the active recommendation of abnormal performance of tourist scenic spots. This also enables CNN to achieve collaborative monitoring. The research results show that image recognition technology can better assist managers to manage the abnormal performance of scenic spots. CNN also has good accuracy in predicting related features such as the flow of people in scenic spots. The similarity index of the three features exceeds 0.9. This has achieved a high accuracy for anomaly detection of tourist attractions. The largest similarity index has reached 0.963.

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