Discovering value from community activity on focused question answering sites 论文
2012引用 359
Expert finding and Q&A systemsMobile Crowdsensing and CrowdsourcingTopic Modeling
相关技术:Topic Modeling
摘要
Question answering (Q&A) websites are now large repositories of valuable knowledge. While most Q&A sites were initially aimed at providing useful answers to the question asker, there has been a marked shift towards question answering as a community-driven knowledge creation process whose end product can be of enduring value to a broad audience. As part of this shift, specific expertise and deep knowledge of the subject at hand have become increasingly important, and many Q&A sites employ voting and reputation mechanisms as centerpieces of their design to help users identify the trustworthiness and accuracy of the content.
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