Abstract
The classification of repositories found on GitHub can be considered as a hard task. However, the solution of this task could be helpful for a lot of different applications (e.g. Recommender Systems). In this paper we present ClassifyHub, an algorithm based on Ensemble Learning developed for the InformatiCup 2017 competition, which is able to tackle this classification problem with high precision and recall. In addition we provide a data set of classified repositories for further research.
Cite
CITATION STYLE
Soll, M., & Vosgerau, M. (2017). ClassifyHub: An Algorithm to Classify GitHub Repositories. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10505 LNAI, pp. 373–379). Springer Verlag. https://doi.org/10.1007/978-3-319-67190-1_34
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