Technical Q8A site answer recommendation via question boosting

• Main Authors: GAO, Zhipeng, XIA, Xin, LO, David, GRUNDY, John
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: CQA; Question Boosting; Question Answering; Sequence-to-sequence; Deep Neural Network; Weakly Supervised Learning; Databases and Information Systems; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/6763; https://ink.library.smu.edu.sg/context/sis_research/article/7766/viewcontent/tosem205.pdf
• Institution: Singapore Management University

Software developers have heavily used online question and answer platforms to seek help to solve their technical problems. However, a major problem with these technical Q&A sites is "answer hungriness" i.e., a large number of questions remain unanswered or unresolved, and users have to...