https://github.com/matte34/amazon-recommendation-system
Item-to-item based recommendation system project using Amazon product data, combining matrix factorization (SVD) and collaborative filtering to predict user ratings and generate top recommendations. To evaluate and optimize the model's accuracy, the following performance metrics were explored: MAE, RMSE, precision, recall, F-measure, and NDCG.
https://github.com/matte34/amazon-recommendation-system
collaborative-filtering jupyter-notebook matrix-factorization python3 singular-value-decomposition sklearn
Last synced: about 1 month ago
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Item-to-item based recommendation system project using Amazon product data, combining matrix factorization (SVD) and collaborative filtering to predict user ratings and generate top recommendations. To evaluate and optimize the model's accuracy, the following performance metrics were explored: MAE, RMSE, precision, recall, F-measure, and NDCG.
- Host: GitHub
- URL: https://github.com/matte34/amazon-recommendation-system
- Owner: MattE34
- Created: 2025-01-01T00:25:39.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-02T16:47:30.000Z (over 1 year ago)
- Last Synced: 2025-01-10T21:17:36.416Z (over 1 year ago)
- Topics: collaborative-filtering, jupyter-notebook, matrix-factorization, python3, singular-value-decomposition, sklearn
- Language: Jupyter Notebook
- Homepage:
- Size: 14.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Amazon Recommendation System
Item-to-item based recommendation system project using Amazon product data, combining matrix factorization (SVD) and collaborative filtering to predict user ratings and generate top recommendations. To evaluate and optimize the model's accuracy, the following performance metrics were explored: MAE, RMSE, precision, recall, F-measure, and NDCG.
## What's included?
### Source Code:
- *Industrial_and_Scientific_5.json*
- *final_project.ipynb*
### Documents:
- *Data Science Project Report.pdf*
- *Data Science Project Slides.pdf*