Innovative Marketing Models for Tourism Destinations Utilizing Big Data and Deep Learning

With the advent of the digital age, the tourism industry is facing unprecedented challenges and opportunities.This study aims to explore an innovative tourism destination marketing model, supported by big data analysis and deep learning technology, aimed at providing a forward-looking and personalized marketing strategy for tourism destinations.By analyzing the limitations of existing marketing models in depth, this article points out the shortcomings of traditional methods in data processing capabilities and market prediction accuracy, and proposes a solution that integrates the latest technologies.This study first defines the conceptual framework of big data and deep learning, and clarifies their application potential and challenges in the field of tourism marketing.Subsequently, by constructing a comprehensive marketing model that includes data collection, preprocessing, feature engineering, and model training, this article demonstrates how to use deep learning to analyze and utilize large-scale data in order to predict tourism trends and customer preferences.Furthermore, this study validated the effectiveness of the marketing model through practical case analysis.The results show that the model can significantly enhance the market competitiveness and marketing effectiveness of tourism destinations, providing an innovative, data-driven marketing plan for tourism destinations.In addition, this article also discusses the main challenges encountered in implementing the model, including issues such as data privacy protection and algorithm transparency.Overall, this study not only provides a new perspective for tourism marketing theory and practice, but also provides practical cases for using advanced technology to solve industry problems.In the future, with the continuous advancement of technology and the further development of the tourism market, the marketing model proposed in this study is expected to bring more innovation and change to tourism destination marketing.