Regrets Data Collection Tool

Users' decisions in recommendation systems are prone to be similar in similar decision frames. Even after watching a video, a socially engineered interface may make them signal their like of content that they do not like. RegretBlocker deletes content that users state they regret outside of a platform. This data collection tool can be run and deployed on any server capable of running docker. We provide installation instructions and our data collection tool. We provide learning tools for your personal RegretBlocker in the future.

Table of Contents

2. Installation
3. Usage
4. Project Structure
5. Contact

Installation

1. Clone the repository: git clone https://github.com/Algorithmic-Personalization/Regret-Blocker.git
2. Navigate to the project directory: cd Regret-Blocker
3. Install Docker Compose
4. Install dependencies: pip install -r requirements.txt
5. Fill

Usage

To start the application, run:

docker-compose up -d # start the docker image in the background
docker-compose exec flask db init # Initialize a new database schema
docker-compose exec flask db migrate -m "Initial migration" # Apply the migration to the database
flask db upgrade
docker-compose restart

Then, the application should be accessible under http://127.0.0.1:5001/upload?uid=user_id for any user_id.

Project Structure

app/ contains the main application logic.

• migrations/: Database migration files.
• static/: contains css and js files
• templates/: contains html templates
• uploads/: stores uploaded data for regrets
• utils/: Utility functions.

Contact

For questions or support, contact [email protected].