Keen2Act: Activity recommendation in online social collaborative platforms

• Main Authors: LEE, Roy Ka-Wei, HOANG, Thong, OENTARYO, Richard J., LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: activity recommendation; factorization machine; GitHub; social collaborative platform; stack overflow; Databases and Information Systems; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5633; https://ink.library.smu.edu.sg/context/sis_research/article/6636/viewcontent/3340631.3394884.pdf
• Institution: Singapore Management University

Social collaborative platforms such as GitHub and Stack Overflow have been increasingly used to improve work productivity via collaborative efforts. To improve user experiences in these platforms, it is desirable to have a recommender system that can suggest not only items (e.g., a GitHub repository...