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This repository has been archived by the owner on May 8, 2021. It is now read-only.

chiksumwong/recommendation_system

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Installation

$ pip install numpy
$ pip install pandas
$ pip install scikit-surprise

Run Recommendation System

$ cd <project path>
$ python main.py

Leave Recommendation System

Ctrl + C

Put the user preference file and recommendation request file to input folder

User preference file:

  • Filename: UPyyyymmddhhmmss.csv
  • yyyymmddhhmmss is the timestamp of the request
  • The file contains three columns in a row separated by commas, (userID, itemID, score [1.0-5.0])

Recommendation request file:

  • Filename: RRyyyymmddhhmmss.csv
  • yyyymmddhhmmss is the timestamp of the request
  • The file contains one row with one column (userID)

Screen Shot

screenshot

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Python Recommendation System

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