SamanKhamesian / Rating-Prediction-System

This project is an implementation of simple rating prediction systems for items from user

Rating-Prediction-System

Abstract

This project implemented a prediction of rating of items using latent factor model

To use this work on your researches or projects you need:

• Python 3.7.0
• Python packages:
  • Numpy

To install Python:

First, check if you already have it installed or not.

python3 --version

If you don't have python 3 in your computer you can use the code below:

sudo apt-get update
sudo apt-get install python3

To install packages via pip install:

sudo pip3 install numpy

If you haven't installed pip, you can use the codes below in your terminal:

sudo apt-get update
sudo apt install python3-pip

You should check and update your pip:

pip3 install --upgrade pip

Dataset

• raw_data.txt : Each rows should contain the userID, the itemID and the predicted rating respectively.
• train_user_item_score.txt : 70% of raw_data.txt chose randomly for train data.
• validation_user_item_score.txt : the remain of raw_data after creation train data made validation data.