This is a repository on code and notebook illustration for CUHK-STAT3009.
- 👨🏫 Instructor: Ben Dai
- 💻 GitHub: https://github.com/statmlben/CUHK-STAT3009
- ⏲️ Course Page: https://www.bendai.org/STAT3009/
- nb - prepare: Software preparation
- nb - background: Baseline methods for Recommender Systems
- nb - correlation RS: Correlation-based Recommender Systems
- nb - ML: Machine learning framework
- nb - MF: Matrix factorization: BCD/ALS
- nb - SGD: Matrix factorization: GD, ALS+GD, SGD
- nb - MF++: Matrix factorization: NSVD and SVD++
- nb - EDA: Real dataset: MovieLens and Data Virtualization
- nb - NN: Neural Networks
- nb - NCF: Neural Collaborative Filtering: Neural Networks in RS
- nb - side: Neural RS with Side Information
If you think the notebooks are useful, please star the repo. Thank you!