The ALARM platform aims to dynamically and automatically recommend links that are relevant to web page browsers. In addition, the proposed platform provides a website monitoring tool to help owners / publishers visualize referrer activities, as well as assist them in metric-based evaluation (efficiency, number of links generated by referrers, amount of accesses in these, etc). A mechanism for creating recommendations was also provided. With this, along with the evaluation of the recommendations, the editor is given the possibility to improve the existing algorithms. This way, it guarantees a greater autonomy on the part of the users of the platform, since not necessarily an update of the platform has to be made for use of new recommendations.

To use the platform follow the instructions below.

For the proper functioning of this plafatorma it is necessary to use a GNU / Unix system, in addition the following programs must be installed.

Python 3
Virtualenv3
Sqlite3

Installing the libraries and creating the Python runtime environment for platform operation can be done through the 'setup.sh' script with the command below.

pip3 install virtualenv
./setup.sh -s

To perform the deploy of the application the command below can be executed.

./setup.sh -r

• Django - The web framework used
• django-admin-tools - The dashboard tool
• Gunicorn - The deploy tool
• Ace - Code Editor
• SweetAlert2 - The alerts
• Plotly.js - Charting library
• JQuery - The JavaScript Library for communication
• Slick - Carousel generator

• Arthur Rodrigues Batista - Initial work - ArthurBatista04
• Luiz Fellipe Machi Pereira - Initial work - LFMP
• Marcos Aurelio Domingues - Advisor - maddomingues

See also the list of contributors who participated in this project.

This project is licensed under the MIT License - see the LICENSE.md file for details