paper2repo: GitHub Repository Recommendation for Academic Papers

04/13/2020
by   Huajie Shao, et al.
0

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, 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, 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 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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/01/2020

GitHub Repositories with Links to Academic Papers: Open Access, Traceability, and Evolution

Traceability between published scientific breakthroughs and their implem...
research
06/29/2021

The penumbra of open source: projects outside of centralized platforms are longer maintained, more academic and more collaborative

GitHub has become the central online platform for much of open source, h...
research
05/10/2018

Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network

As more and more academic papers are being submitted to conferences and ...
research
05/22/2019

Evaluating recommender systems for AI-driven data science

We present a free and open-source platform to allow researchers to easil...
research
08/10/2021

Science Tree: A Platform for Exploring the Brazilian Academic Genealogy

Identifying and studying the formation of researchers over the years is ...
research
03/16/2021

A Novel Paper Recommendation Method Empowered by Knowledge Graph: for Research Beginners

Searching for papers from different academic databases is the most commo...
research
05/28/2021

An Explanatory Query-Based Framework for Exploring Academic Expertise

The success of research institutions heavily relies upon identifying the...

Please sign up or login with your details

Forgot password? Click here to reset