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Interpretation of food preference using binary food logging data.

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A python based recommender system that uses non negative matrix factorization to try to infer a user's taste in food
using implicit feedback in the form of food logs.

Usage:

1. Download the dataset:

    curl -O http://uclhack.blob.core.windows.net/peach/PEACH_foodDiary_1Q2015.csv

2. Example use:

    pip install -r requirements.txt
    python recsys.py

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Interpretation of food preference using binary food logging data.

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