Research on Personalized Tourism Recommendation Model Based on Spark Platform

Comparing the advantages and disadvantages of several different personalized recommendation algorithms, this article chooses the collaborative filtering algorithm and constructs a tourism personalized recommendation model based on the Spark platform to verify its computational speed and recommendation accuracy. The research results show that compared with the tourism personalized recommendation model constructed under the Hadoop platform, the tourism personalized recommendation model constructed based on the collaborative filtering algorithm on the Spark platform has higher recommendation accuracy and faster computational speed.