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projet_2_epfl_-recommender-system's Introduction

Project 2 Recommender System

Prerequiesits

  • You have to create a new environment to be able to run Our model with the command : conda create -n yourenvname python=3.6
  • Install Spotlight with the command line : ** conda install -c maciejkula -c pytorch spotlight=0.1.5**
  • Install pandas with : pip install pandas
  • Install numpy and juyter lab in your new environment with :pip install numpy , pip install jupyter

Run the program

To run the programm , you just have to enter to the folder when you put the file run.py , then you can use a jupyter notebook with run.py or just use your terminal with the command : Python run.py

Other files in the project

In the Project you will find other files such:

  • helpers.py:Provide all functions that help for SGD ,ALS and other algorithms
  • Project2.ipynb: Contains the implementation and the creation of submission for the SGD ,Baselines and also the analyse of different algorithms with the surprise library.
  • ModelAlS:the implementation of the ALS algorithm with the creation of the submission
  • Report:Our project report where we explain all methods used and present the results.
  • the data : data_train:the trainning csv file provided by AICROWD , sampleSubmission:The test csv file provided by AICROWd
  • csv files from our submissions(that give best results)

Final Score

The final score was 1.032,The submission ID:31710 and the team name :We_saw_it_We_recommend_it

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