Research on Travel Personalized Recommendation Information Retrieval Based on Big Data Improvement Algorithm

Tourism, as a basic component of social and economic development and urban construction, is also the core content to meet the spiritual needs of residents. Therefore, on the basis of understanding the current integrated development form of the Internet and tourism, this paper analyzes how to build a recommendation information retrieval model with personalized tourism based on the Apriori algorithm, aiming at the improved algorithm proposed based on big data.