图 书 馆
挖掘富会话上下文以改进网页搜索Mining Rich Session Context to Improve Web Search |
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| 课程网址: | http://videolectures.net/kdd09_zhu_mrciws/ |
| 主讲教师: | Guangyu Zhu |
| 开课单位: | 马里兰大学 |
| 开课时间: | 2009-09-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, we expand the use of browsing information for web search ranking and other applications, with an emphasis on analyzing individual user sessions for creating aggregate models. In this context, we introduce ClickRank, an efficient, scalable algorithm for estimating web page and web site importance from browsing information. We lay out the theoretical foundation of ClickRank based on an intentional surfer model and analyze its properties. We evaluate its effectiveness for the problem of web search ranking, showing that it contributes significantly to retrieval performance as a novel web search feature. We demonstrate that the results produced by ClickRank for web search ranking are highly competitive with those produced by other approaches, yet achieved at better scalability and substantially lower computational costs. Finally, we discuss novel applications of ClickRank in providing enriched user web search experience, highlighting the usefulness of our approach for non-ranking tasks. |
| 关 键 词: | 搜索; 偏好; 意图 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-05-10：cwx |
| 阅读次数: | 43 |