关键词: 二分网络, 加权投影, 内部边, 项目推荐

Abstract: The rapid development of open source software ecosystem provides a new model for software development. The research of open source software recommendation system has become an important research field. Most of the existing software engineering recommender systems use the methods of collaborative filtering, machine learning or matching the attribute of the developers between the projects. The research of using network structure and network analysis technology to carry out the recommendation is relatively small. This paper takes GNOME community as the research object, builds a developer-project bipartite network, uses the link prediction technology of bipartite network, recommends the most suitable projects to developers using internal links and compared with the collaborative filtering method. The experimental results show that the method based on the internal links is better than the collaborative filtering method.

Key words: bipartite network, weighted projection, internal link, project recommendation