As China's economy continues to grow of informational technology and mobile Internet
industry, the online tourism industry has received more and more extensive attention and …

In order to solve the problems of low recommendation accuracy and long recommendation
time of traditional intelligent tourism route recommendation method, an intelligent tourism …

Accurate recommendation of tourist attractions is conducive to improving users' travel
efficiency and tourism experience. However, the choice of tourism feature factors and the …

By improving the mining efficiency and enhancing the scalability of the algorithm, it solves
the problem that the traditional recommendation algorithm has a long response time and low …

China has become the world's third largest inbound tourism host country and outbound
tourism consumer country, and is forming the largest international tourism market. Tourism …

With improving people's living standards, tourism has become essential leisure and
entertainment. At present, it has begun to shift from a quantity‐oriented tourism method to a …

With the development of information technology and the arrival of intelligent era, the tourism
industry has also changed from traditional information service to intelligence. In this study …

To improve the effect of hotel personalized recommendation, this paper proposes a specific
scheme using collaborative filtering algorithm applied to tourism website. According to the …

Smart tourism can provide high‐quality and convenient services for different tourists, and
tourism itinerary planning system can simplify tourists' tourism preparation. In order to …

The recommendation system is one of popular machine learning algorithms and has been
widely used in areas, especially e-commerce platforms. There are many tourist cities in …