Sports tourism information recommendation modelling based on user preference fine granularity and improved LSTM network

Key Points

• The research aims to develop a modelling approach for recommending sports tourism information based on user preferences with fine granularity.
• Developed an improved LSTM (Long Short-Term Memory) network for data analysis.
• Analyzed user preference data to enhance recommendation accuracy.
• Implemented testing and validation of the model using real-world data.
• Enhanced user satisfaction with sports tourism information recommendations.
• Demonstrated significant improvements in recommendation accuracy over previous models.