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Non-Negative Matrix Factorization for AllRecipes Taste Data

This repository contains data and code for an application of non-negative matrix factorization to a data set of recipe favorites scraped from AllRecipes.com.

The project is described in my blog post Decomposing the Human Taste Palate.

The contents of this repository are:

data/favorites.csv: a data set of 116K AllRecipes users and their collections of favorite recipes. Each line in this file takes the form "USER_INDEX,RECIPE_INDEX".

data/recipes.csv: the names and slugs of 9,546 recipes from AllRecipes.com. Use this file to look up the name of a recipe given its index.

nmf.m: a MATLAB script that performs non-negative matrix factorization on data/favorites.csv.

results/: the results of running nmf.m.

analyze/print_tastes, a Python script that prints out the top recipes in each factor ("taste").

nmfv1_4/: a copy of the NNMF MATLAB library by Yifeng Li.

I carried out this project in Spring 2014 with Rob Sami, Aaron Schild, and Spencer Tank.

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