Repommend
Dec 20, 2021
Network Analysis
ITU
2021
In this research project, we developed a recommendation system for GitHub repositories using a bipartite graph to represent the relationships between users and the repositories they follow. We devised two approaches for generating recommendations: a "naive" method and a more advanced "search depth" technique. The methodology is versatile and can be applied to any bipartite graph to create recommendations for either set of entities.
To see it in action, you can explore the system here, or browse the source code on GitHub.
