NDLI: RepoLike: personal repositories recommendation in social coding communities

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RepoLike: personal repositories recommendation in social coding communities

Content Provider	ACM Digital Library
Author	Fan, Qiang Yang, Cheng Wang, Tao Wang, Huaimin Yin, Gang
Abstract	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.
Starting Page	54
Ending Page	62
Page Count	9
File Format	PDF
ISBN	9781450348294
DOI	10.1145/2993717.2993725
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-09-18
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Github Social connection Interest context Repository recommendation Social coding
Content Type	Text
Resource Type	Article

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