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A tutorial on scalable retrieval of matrix factorization recommendations
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Part-1-Matrix-Factorization-Recommendation-Retrieval.ipynb
Part-2-Scalable-Recommendation-Retrieval-with-Locality-Sensitive-Hashing.ipynb
Part-3-Indexable-Representation.ipynb
README.md
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requirements.txt

README.md

Recent Advances in Scalable Retrieval of Personalized Recommendation

Enviroment Setup

  1. Python 3 which can be downloaded from here.
  2. Jupyter Notebook: please find the instruction on how to install Jupyter Notebook here

Next, you need to clone this repository:

$ git clone https://github.com/PreferredAI/recommendation-retrieval.git
$ cd recommendation-retrieval

Run the following command to install required packages.

$ pip3 install -r requirements.txt

Run the following command to start Jupyter Notebook

$ jupyter notebook
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