This project developed and optimized a hybrid recommendation system that processes over 450,000 training data points and 142,000 validation data points. The system combines user ratings, merchant details, and user reviews to predict users' ratings for restaurants they have not visited.
-
Notifications
You must be signed in to change notification settings - Fork 0
This project developed and optimized a hybrid recommendation system that processes over 450,000 training data points and 142,000 validation data points. The system combines user ratings, merchant details, and user reviews to predict users' ratings for restaurants they have not visited.
leiyunin/Hybrid-Recommendation-System
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
About
This project developed and optimized a hybrid recommendation system that processes over 450,000 training data points and 142,000 validation data points. The system combines user ratings, merchant details, and user reviews to predict users' ratings for restaurants they have not visited.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published