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Mastodon Server Recommendation System

Guideposts

  • manuscripts - Contains the manuscripts for the project.
  • notebooks - Notebooks for data exploration and analysis.
  • FediRecommender - Python package for building and running the recommendation system.
  • codebase - Place to store shared code.
  • recommender - Contains the recommendation system code (front-end).
  • presentations - Slide decks.
  • scripts - Scripts for data processing and analysis.

Getting Started

Environment Setup

I created this project with R version 4.4.1 and Python version 3.9.22.

This project uses renv to manage R package dependencies. To set up the environment, run the following command in R:

renv::restore()

This will install all the required packages and their dependencies.