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Recommendation Engine

This project contains code supporting the blog at url => https://humansandai.wordpress.com/2017/12/26/recommendation-engine-overview-for-dummies/

Source files

  • item_item_sim_recommender.py => This stand-alone python file contains the code to a recoomendation engine built using the Item-Item similarity technique
  • user_user_sim_recommender.py => This stand-alone python file contains the code to a recoomendation engine built using the User-User similarity technique

Resource files

  • items.csv => This is a training data file which contains the unique item_id and the item_name of all items in the inventory.
  • shopping_cart.csv => This is a training data file which contains the user_id and the list of items purchased by that user in a single transaction.

Running the example

Running from PyCharm

  • Import the cloned project into PyCharm. PyCharm will automatically install the required dependencies from the requirements.txt file
  • Right and click on 'Run' option on the item_item_sim_recommender.py file from the project window.

Running from the Terminal

  • Python 2.x and pip should already be installed on the machine.
  • Install the requirements from the requirements.txt file, suing the command
pip install -r requirements.txt

You might have to use sudo, if the user does not have enough permissions to install packages.

  • Execute the python file using the command
python item_item_sim_recommender.py

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Watchers

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