图 书 馆
基于邻域的标记预测Neighborhood-based Tag Prediction |
|
| 课程网址: | http://videolectures.net/eswc09_budura_nbtp/ |
| 主讲教师: | Adriana Budura |
| 开课单位: | 洛桑联邦理工学院 |
| 开课时间: | 2009-07-28 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We consider the problem of tag prediction in collaborative tagging systems where users share and annotate resources on the Web. We put forward HAMLET, a novel approach to automatically propagate tags along the edges of a graph which relates similar documents. We identify the core principles underlying tag propagation for which we derive suitable scoring models combined in one overall ranking formula. Leveraging these scores, we present an efficient top-k tag selection algorithm that infers additional tags by carefully inspecting neighbors in the document graph. Experiments using real-world data demonstrate the viability of our approach in large-scale environments where tags are scarce. |
| 关 键 词: | 协作标记系统; 互联网; 自动传播系统 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-20：lxf |
| 阅读次数: | 25 |