This is the repository for the Content-Based Recommendation Systems with Apache MXNet article created for the MXNet Medium blog, in partnership with Amazon.
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├── data
│ └── articles_first_1000.csv
├── LICENSE
├── README.md
└── src
├── Content-Based Recommendation System with MXNet.ipynb - Notebook for the first 1000 articles.
├── download_articles.sh - Download all article data with the Kaggle API.
├── recsys_all_articles.py - Create recommendation system with 50,000 articles.
└── recsys.py - Create recommendation system with first 1,000 articles.If the prerequisites aren't already installed, run the following commands.
Kaggle API - pip install kaggle
MXNet - pip install mxnet
Spacy
pip install -U spacy
python -m spacy download en
python -m spacy download en_core_web_md- All news article data is downloaded via
download_articles.sh.
You must have your Kaggle API credentials to proceed with the download!
bash download_articles.shLaunch the Content-Based Recommendation System with MXNet notebook to for building a recommendation system with the first 1000 articles.
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Kaggle - All The News Data Set
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