Predicting best answerers for new questions: An approach leveraging topic modeling and collaborative voting

• Main Authors: TIAN, Yuan, Kochhar, Pavneet Singh, LIM, Ee Peng, ZHU, Feida, LO, David
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2013
• 主題: Communication Technology and New Media; Databases and Information Systems
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/2027; https://ink.library.smu.edu.sg/context/sis_research/article/3026/viewcontent/Predicting_best_answerers_for_new_questions__An_approach_leveraging_topic_modeling_and_collaborative_voting.pdf

Community Question Answering (CQA) sites are becoming increasingly important source of information where users can share knowledge on various topics. Although these platforms bring new opportunities for users to seek help or provide solutions, they also pose many challenges with the ever growing siz...