Expert as a service: Software expert recommendation via knowledge domain embeddings in stack overflow

• Main Authors: HUANG, Chaoran, YAO, Lina, WANG, Xianzhi, BENATALLAH, Boualem, SHENG, Quan Z.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Expert as a Service; Expertise finding; Knowledge discovery; Question answering; Stack Overflow; Cluster analysis; Computer programming; Data mining; Factorization; Graphic methods; Matrix algebra; Natural language processing systems; Semantics; Websites; Collaborative network; Expert recommendations; Graph-based clustering; Matrix factorizations; Question Answering; Stack overflow; Web services; Programming Languages and Compilers; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/3860
• Institution: Singapore Management University

Question answering (Q&A) communities have gained momentum recently as an effective means of knowledge sharing over the crowds, where many users are experts in the real-world and can make quality contributions in certain domains or technologies. Although the massive user-generated Q&A data pr...