Recommender-System-Based-on-Purchasing-Behavior-Data

Data Source:

Built recommender systems for recommending products and brands to online cosmetics shop users using popularity model, item-based Collaborative Filtering, Matrix Factorization with Implicit Alternative Least Squares, and Neural Networks.
User-Product Matrix has a sparsity of 99.9285%
User-Brand Matrix has a sparsity of 98.8192%

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
Final Write-Up.docx		Final Write-Up.docx
README.md		README.md
User_Brand_Pair_Completed.ipynb		User_Brand_Pair_Completed.ipynb
User_Product_Pair_Completed.ipynb		User_Product_Pair_Completed.ipynb
Visualization.ipynb		Visualization.ipynb
brand_cnt.png		brand_cnt.png
deep_learning_keras.ipynb		deep_learning_keras.ipynb
product_cnt.png		product_cnt.png

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