Personalized Recommendation of Domestic Tourism in the Post-Epidemic Era

— In the era of big data, the tourism industry faces the problem of information explosion. How to quickly and accurately obtain valuable data from massive tourism information is a problem that needs to be solved. At the same time, the arrival of the new crown epidemic in recent years has seriously affected the development of tourism. In response to these problems, this paper analyzes the research schemes of personalized tourism recommendations at home and abroad in recent years and makes customized offers according to the needs of users, travel preferences, and information about the dynamic changes of the epidemic situation to meet the needs of local governments for epidemic prevention and control. It can recommend the most suitable tourist attractions for users to meet their personalized needs and let users fully experience the fun of travel