This project develops a content-based recommendation system using the MovieLens 25M dataset and explores collaborative filtering methods.
- Content-based recommendation system
- Exploratory Data Analysis (EDA)
- Collaborative filtering study
- Performance simulations
- Enhance recommendation accuracy
- Address cold start problem
- Explore hybrid model potential
MovieLens 25M dataset
- Content-based filtering
- Collaborative filtering exploration
- EDA and performance assessment
Investigate hybrid recommendation models