Intelligent Travel Route Recommendation Algorithm Based on Big Data

With the rapid development of mobile Internet technology, the number of customers has increased dramatically, and applications have become widespread. Using the big data generated by mobile network activities to analyze customer behavior and achieve accurate marketing has become a new demand in the field of mobile Internet. In this paper, the big data algorithm is used to analyze the characteristics of customers and match the classification, and obtain the customer requirements. The data extraction method based on customer characteristics is obtained. Through the analysis of customer characteristics, intelligent travel route recommendation based on customer interests is carried out. The experiment proves that the algorithm can better match and classify customer features, and conduct accurate travel route recommendation through customer interest.