Recommender Systems

Implementation for Recommender Systems using Python with Numpy & Pandas. Mainly focusing on matrix factorization techniques.

Notes

Data is not uploaded due to privacy.

Used columns in the data include only "idUser" and "idContent" representing Integer values.

Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
.ipynb_checkpoints		.ipynb_checkpoints
.vscode		.vscode
Archive		Archive
.DS_Store		.DS_Store
.gitignore		.gitignore
Data_Analysis.ipynb		Data_Analysis.ipynb
Implicit-MF_v3.0.ipynb		Implicit-MF_v3.0.ipynb
Model_ImplicitMF.ipynb		Model_ImplicitMF.ipynb
Readme.md		Readme.md
Recommender Systems_Pre-Processing_v3.ipynb		Recommender Systems_Pre-Processing_v3.ipynb
Statista_NearestNeighbour.ipynb		Statista_NearestNeighbour.ipynb