RepoLike: personal repositories recommendation in social coding communities

Social coding represents a new style of software production and creation paradigm, and demands for new technologies of software reuse. Many people searching for projects package, we can provide good reuse recommendation. In this paper, we focus on an interesting research topic of recommending software repositories to social developers, which is challenging because of two points: the first is how to get the interest contexts of developers; and the second is how to rank the repository candidates for recommendation properly. We propose RepoLike, a new approach for recommending repositories to developers by predicting their interests. RepoLike explores the developers' historical development activities and the social connections with other programmers, mines the technical features of repositories and the dependencies among them, and then combines both aspects to recommend most interesting and inspiring repositories to developers. The experiment results show that our approach can surprisingly recommend closely correlated repositories to developers, and the critical test results show that the recommendation performance is strongly impacted by the interest context model.