Topic recommendation for GitHub repositories: How far can extreme multi-label learning go?

• Main Authors: WIDYASARI, Ratnadira, ZHAO, Zhipeng, CONG, Thanh Le, KANG, Hong Jin, LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Multi-label classification; Extreme multi-label learning; Topic recommendation; GitHub repositories; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8576; https://ink.library.smu.edu.sg/context/sis_research/article/9579/viewcontent/SANER23_GithubTopic.pdf
• Institution: Singapore Management University

GitHub is one of the most popular platforms forversion control and collaboration. In GitHub, developers are ableto assign related topics to their repositories, which is helpfulfor finding similar repositories. The topics that are assigned torepositories are varied and provide salient descriptions of...