Research on personalised recommendation of tourist attractions based on improved collaborative filtering algorithm

Key Points

• This research aims to enhance personalized recommendations for tourist attractions using advanced algorithms.
• Implemented an improved collaborative filtering algorithm for recommendations.
• Analyzed user preferences through data mining techniques.
• Evaluated the effectiveness of the recommendation system through user feedback.
• The improved algorithm increased user engagement by 30%.
• Satisfaction rates for recommended attractions rose by 25%.
• The system showed higher accuracy with a 15% improvement over baseline methods.

Abstract