在基于社区的问答服务中发现有潜在贡献的用户Booming Up the Long Tails: Discovering Potentially Contributive Users in Community-based Question Answering Services |
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课程网址: | http://videolectures.net/icwsm2013_lee_long_tails/ |
主讲教师: | Jae-Gil Lee |
开课单位: | 韩国先进科学技术研究所 |
开课时间: | 2014-04-03 |
课程语种: | 英语 |
中文简介: | 基于社区的问答(CQA)服务,例如Yahoo!答案已被Internet用户广泛使用,以获取他们的查询答案。 CQA服务完全取决于用户的贡献。但是,众所周知,新移民很容易失去兴趣而离开社区。因此,在专家仍活跃的早期阶段找到专家用户对于提高激励他们进一步为社区做出贡献的机会至关重要。在本文中,我们提出了一种新颖的方法来从CQA服务中新加入的用户中发现“潜在”有贡献的用户。成为有贡献的用户的可能性由用户的专业知识以及可用性(我们称为答案能力)定义。主要的技术困难在于这样的事实,即最近加入的用户多年来没有积累大量的信息。我们利用用户的生产性词汇表来缓解可用信息的缺乏,因为词汇表是揭示其知识的最基本要素。 Naver Knowledge In(KiN)的巨大数据集进行了广泛的实验,这是韩国主要的CQA服务。我们证明,在回答活动量方面,由答案提供者选择的排名最高的排名优于KiN。 p> |
课程简介: | Community-based question answering (CQA) services such as Yahoo! Answers have been widely used by Internet users to get the answers for their inquiries. The CQA services totally rely on the contributions by the users. However, it is known that newcomers are prone to lose their interests and leave the communities. Thus, finding expert users in an early phase when they are still active is essential to improve the chances of motivating them to contribute to the communities further. In this paper, we propose a novel approach to discovering "potentially" contributive users from recently-joined users in CQA services. The likelihood of becoming a contributive user is defined by the user's expertise as well as availability, which we call the answer affordance. The main technical difficulty lies in the fact that such recently-joined users do not have abundant information accumulated for many years. We utilize a user's productive vocabulary to mitigate the lack of available information since the vocabulary is the most fundamental element that reveals his/her knowledge. Extensive experiments were conducted with a huge data set of Naver Knowledge-In (KiN), which is the dominating CQA service in Korea. We demonstrate that the top rankers selected by the answer affordance outperformed those by KiN in terms of the amount of answering activity. |
关 键 词: | CQA问答服务; 有“潜在”贡献的用户; 社区问答答案查询 |
课程来源: | 视频讲座网 |
数据采集: | 2021-05-27:zyk |
最后编审: | 2021-05-27:zyk |
阅读次数: | 55 |