Destination Recommendation and Personalized Trip Planning Based on Intelligent Algorithm and Big Data Analysis

The tourism industry has promoted research on destination recommendation and personalized trip planning based on intelligent algorithms and big data analysis, the research aims to use intelligent algorithms and big data analysis technology to provide tourists with accurate, personalized and diversified travel recommendation and trip planning services. In this study, intelligent algorithm and big data analysis technology are used to build a tourism destination recommendation and personalized trip planning system by combining travel-related data and user behavior data. By analyzing users’ historical behaviors, interests, preferences and travel needs, the system uses intelligent algorithms and big data analysis technology to generate personalized recommendation results and trip planning. Experiments show that the recommended coverage rate of the proposed method is as high as 85% and as low as 75%, which can accurately understand users’ preferences and needs, and generate tourist destinations and itinerary planning related to users’ interests.