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paper2repo: GitHub Repository Recommendation for Academic Papers
- Source :
- WWW
- Publication Year :
- 2020
- Publisher :
- arXiv, 2020.
-
Abstract
- GitHub has become a popular social application platform, where a large number of users post their open source projects. In particular, an increasing number of researchers release repositories of source code related to their research papers in order to attract more people to follow their work. Motivated by this trend, we describe a novel item-item cross-platform recommender system, $\textit{paper2repo}$, that recommends relevant repositories on GitHub that match a given paper in an academic search system such as Microsoft Academic. The key challenge is to identify the similarity between an input paper and its related repositories across the two platforms, $\textit{without the benefit of human labeling}$. Towards that end, paper2repo integrates text encoding and constrained graph convolutional networks (GCN) to automatically learn and map the embeddings of papers and repositories into the same space, where proximity offers the basis for recommendation. To make our method more practical in real life systems, labels used for model training are computed automatically from features of user actions on GitHub. In machine learning, such automatic labeling is often called {\em distant supervision\/}. To the authors' knowledge, this is the first distant-supervised cross-platform (paper to repository) matching system. We evaluate the performance of paper2repo on real-world data sets collected from GitHub and Microsoft Academic. Results demonstrate that it outperforms other state of the art recommendation methods.
- Subjects :
- Social and Information Networks (cs.SI)
FOS: Computer and information sciences
Matching (statistics)
Information retrieval
Source code
Computer science
media_common.quotation_subject
Computer Science - Social and Information Networks
02 engineering and technology
Space (commercial competition)
Recommender system
Computer Science - Information Retrieval
020204 information systems
Similarity (psychology)
0202 electrical engineering, electronic engineering, information engineering
Key (cryptography)
Graph (abstract data type)
020201 artificial intelligence & image processing
Information Retrieval (cs.IR)
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- WWW
- Accession number :
- edsair.doi.dedup.....123283f9218cf686069e4d8c328060d2
- Full Text :
- https://doi.org/10.48550/arxiv.2004.06059