图 书 馆
在线查询社区最佳答案的自动识别Automatic Identification of Best Answers in Online Enquiry Communities |
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| 课程网址: | http://videolectures.net/eswc2012_burel_online_enquiry/ |
| 主讲教师: | Grégoire Burel |
| 开课单位: | 英国开放大学 |
| 开课时间: | 2012-07-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Online communities are prime sources of information. The Web is rich with forums and Question Answering (Q&A) communities where people go to seek answers to all kinds of questions. Most systems employ manual answer-rating procedures to encourage people to provide quality answers and to help users locate the best answers in a given thread. However, in the datasets we collected from three online communities, we found that half their threads lacked best answer markings. This stresses the need for methods to assess the quality of available answers to: 1) provide automated ratings to fill in for, or support, manually assigned ones, and; 2) to assist users when browsing such answers by filtering in potential best answers. In this paper, we collected data from three online communities and converted it to RDF based on the SIOC ontology. We then explored an approach for predicting best answers using a combination of content, user, and thread features. We show how the influence of such features on predicting best answers differs across communities. Further we demonstrate how certain features unique to some of our community systems can boost predictability of best answers. |
| 关 键 词: | 在线社区; 手动应答; 数据集 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-09-18：chenxin |
| 阅读次数: | 67 |