Installation

The project is developed in python 3. We used specifically the version 3.4.

Requirements

We recommend to use a virtualenv to keep projects separated on your machine. Obviously, this is not mandatory. To install the project, firstly clone the repository from Github, then install python dependencies.

>>> git clone https://github.com/tizot/recommendation-system.git recom
>>> cd recom
>>> virtualenv --python=python3.4 env.
>>> source .env/bin/activate
>>> pip install -r requirements.txt

If you do not want to use a virtualenv, install the following python packages:

  • numpy 1.11.0
  • scipy 0.17.1
  • pandas 0.18.1
  • matplotlib 1.5.1
  • mysqlclient 1.3.7
  • scikit-learn 0.17.1
  • Theano: pip install --user https://github.com/Theano/Theano/archive/master.zip
  • Lasagne: pip install --user https://github.com/Lasagne/Lasagne/archive/master.zip

SQL database

In order to use the scripts, you need a SQL database in which are stored all the papers. You can name it as you like, the default name in the script is dblp.

In this database, you must have a table called papers with at least three columns:

  • id: a unique identifier for each paper (INT or UUID);
  • title: the title of the paper (VARCHAR(255));
  • abstract: the abstract of the paper, that can be empty (TEXT).