Restaurant Recommendation System Using User Preferences and Ratings

Key Points

• The main aim is to develop a recommendation system that uses user preferences and ratings to suggest restaurants.
• Developed a system integrating user preferences and ratings to generate recommendations.
• Evaluated the effectiveness of the system through a user feedback mechanism.
• Utilized a dataset of restaurant ratings for analysis.
• Increased user satisfaction rates post-implementation of the recommendation system.
• Demonstrated improvement in the relevance of restaurant suggestions based on user feedback.
• Effective correlation found between user ratings and system recommendations.

Abstract