Open Source Projects Recommendation on GitHub

Abstract

This chapter discusses the design and the implementation of a recommender system for open source projects on GitHub using the collaborative-filtering approach. Having such a system can be helpful for many developers, especially those who search for a particular project based on their interests. It can also reduce searching time and make search results more relevant. The system presented in this chapter was evaluated on a real-world dataset and using various evaluation metrics. Results obtained from these experiments are very promising. The authors found that their recommender system can reach better precision and recall accuracy.

Tie Strength Metrics to Rank Pairs of Developers from GitHub

“…Likewise, there are different applications for recommendation systems, such as e-commerce, social networks and Web search. For example, Guendouz et al [2018] use collaborativefiltering to recommend open source projects on GitHub. Specifically, the authors develop a prototype that presents a list of repositories recommended for developers.…”