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Social Tagging Behaviour in Community-Driven Question Answering

机译:社区驱动的问题回答中的社交标记行为

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On-line community services such as Live QnA and Yahoo! Answers enable their members to ask questions and have them answered by the community. The questions are labelled by the users to facilitate search, navigation, and recommendations. In this paper we provide an in-depth analysis of the question labelling practices by contrasting the use of community generated tags in the Live QnA service with the use of topic categories from a fixed taxonomy in the Yahoo! Answers service. We found that community tagging is related to higher levels of social interactions amongst users. Analysis of the most frequently used community tags reveals that active users may establish strong social ties around specific tags. Furthermore, the discriminative value of individual community tags can be low since the corresponding questions may cover a variety of topics. Thus, appropriate care needs to be taken when designing search, browsing, and recommender features for question discovery.
机译:在线社区服务,如Live Qna和Yahoo!答案使他们的成员提出问题,并通过社区回答。这些问题由用户标记,以方便搜索,导航和建议。在本文中,我们通过在雅虎在雅虎的固定分类学中使用主题类别对现场QNA服务中的使用,对问题标记实践进行了深入的分析。答案服务。我们发现社区标记与用户之间的更高级别的社交交互有关。对最常用的社区标签的分析表明,活动用户可能会在特定标签周围建立强大的社交关系。此外,由于相应的问题可能涵盖各种主题,因此个人社区标签的辨别值可能很低。因此,需要在设计搜索,浏览和推荐特征时需要进行适当的小心问题。

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