https://github.com/joshmusira/collaborative-filtering
https://github.com/joshmusira/collaborative-filtering
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/joshmusira/collaborative-filtering
- Owner: JoshMusira
- Created: 2024-05-29T12:18:57.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-29T12:50:24.000Z (about 2 years ago)
- Last Synced: 2025-01-16T01:51:41.623Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 2.36 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Movie Recommendation System
This project implements a collaborative filtering recommendation system to predict movie ratings and recommend movies to users.
## Dataset
The dataset consists of two files:
- `ratings.csv`: Contains user ratings for movies.
- `movies.csv`: Contains metadata about movies.
## Methodology
1. **Data Preparation**: Merge the ratings and movies datasets.
2. **Normalize Ratings**: Normalize the user-item matrix.
3. **Calculate Similarity**: Compute item similarity using Pearson correlation.
4. **Make Predictions**: Predict ratings for movies that a user has not rated.