图 书 馆
大规模排序问题：一些理论和算法问题Large Scale Ranking Problem: some theoretical and algorithmic issues |
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| 课程网址: | http://videolectures.net/mlss06tw_zhang_stai/ |
| 主讲教师: | Tong Zhang |
| 开课单位: | 新泽西州立罗格斯大学 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The talk is divided into two parts. The first part focuses on web-search ranking, for which I discuss training relevance models based on DCG (discounted cumulated gain) optimization. Under this metric, the system output quality is naturally determined by the performance near the top of its rank-list. I will mainly focus on various theoretical issues for this learning problem. The second part discusses related algorithmic issues in the context of optimizing the scoring function of a statistical machine translation system according to the BLEU metric (standard measure of translation quality). Our approach treats machine translation as a black-box, and can optimize millions of system parameters automatically. This has not been attempted before in this context. I will present our method and some initial results. |
| 关 键 词: | 信息检索; web挖掘; DCG |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-05-31：吴雨秋(课程编辑志愿者) |
| 阅读次数: | 22 |