FlavorFriend

FlavorFriend is a yelp restaurant reccomendation system that learns latent information about the relationships between users and restaurants.

How to run: In each notebook make sure to set the base_dir variable to the directory of the yelp dataset

First run data_cleaning.ipynb

Then run ncf.ipynb

This notebook runs the yelp dataset through a vanilla Neural Collaborative Filtering with Sentiment Augmentation

Finally run mf_ncf.ipynb

This notebook runs the yelp dataset through a Matrix Factorization - Neural Collaborative Filtering model with Sentiment Augmentation

Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
.gitignore		.gitignore
DataCleaning_Sab.ipynb		DataCleaning_Sab.ipynb
EDA.ipynb		EDA.ipynb
README.md		README.md
Untitled.ipynb		Untitled.ipynb
data_cleaning.ipynb		data_cleaning.ipynb
matrix_factorization.ipynb		matrix_factorization.ipynb
mf_ncf.ipynb		mf_ncf.ipynb
ncf.ipynb		ncf.ipynb

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