Expert finding in question-answering websites: A novel hybrid approach

Wei Chen Kao*, Duen-Ren Liu, Shiu Wen Wang

*此作品的通信作者

研究成果: Conference contribution同行評審

44 引文 斯高帕斯(Scopus)

摘要

Question answering websites are becoming an ever more popular knowledge sharing platform. On such websites, people may ask any type of question and then wait for someone else to answer the question. However, in this manner, askers may not obtain correct answers from appropriate experts, and knowledge sharing through question answering websites is interfered. Recently, various approaches have been proposed to automatically find experts in Question answering websites. In this paper, we propose a novel hybrid approach to effectively find experts for the category of the target question in question answering websites. Our approach considers user subject relevance, user reputation and authority of a category in finding experts. The experiment results show that our proposed methods outperform other conventional methods.

原文English
主出版物標題APPLIED COMPUTING 2010 - The 25th Annual ACM Symposium on Applied Computing
頁面867-871
頁數5
DOIs
出版狀態Published - 23 7月 2010
事件25th Annual ACM Symposium on Applied Computing, SAC 2010 - Sierre, Switzerland
持續時間: 22 3月 201026 3月 2010

出版系列

名字Proceedings of the ACM Symposium on Applied Computing

Conference

Conference25th Annual ACM Symposium on Applied Computing, SAC 2010
國家/地區Switzerland
城市Sierre
期間22/03/1026/03/10

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