The development and application of big data and artificial intelligence technology in intelligent tourism products are increasing, and tourism service robots are getting more and more attention. Firstly, this paper introduces the background of Big Data, intelligent recommendation algorithm, and their application in intelligent tourism service, in order to improve the satisfaction of tourists and increase the experience of tourism. There are two algorithms in this paper, one is content-based recommendation algorithm, and the other is personalized recommendation algorithm based on user behavior. The experimental results show that the personalized recommendation algorithm based on user behavior can better meet the needs of tourists and play a positive role in tourism.