图 书 馆
质量偏见的Web文档的排名Quality-Biased Ranking of Web Documents |
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| 课程网址: | http://videolectures.net/wsdm2011_bendersky_qbr/ |
| 主讲教师: | Michael Bendersky |
| 开课单位: | 谷歌公司 |
| 开课时间: | 2011-08-09 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Many existing retrieval approaches do not take into account the content quality of the retrieved documents, although link-based measures such as PageRank are commonly used as a form of document prior. In this paper, we present the quality-biased ranking method that promotes documents containing high-quality content, and penalizes low-quality documents. The quality of the document content can be determined by its readability, layout and ease-of-navigation, among other factors. Accordingly, instead of using a single estimate for document quality, we consider multiple content- based features that are directly integrated into a state-of- the-art retrieval method. These content-based features are easy to compute, store and retrieve, even for large web collections. We use several query sets and web collections to empirically evaluate the performance of our quality-biased retrieval method. In each case, our method consistently improves by a large margin the retrieval performance of text- based and link-based retrieval methods that do not take into account the quality of the document content. |
| 关 键 词: | 检索方法; 检索性能; 检索质量 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-01：吴雨秋(课程编辑志愿者) |
| 阅读次数: | 97 |