图 书 馆
从协作过滤到多任务学习From collaborative filtering to multitask learning |
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| 课程网址: | http://videolectures.net/icml2010_smola_fcfm/ |
| 主讲教师: | Alexander J. Smola |
| 开课单位: | 亚马逊公司 |
| 开课时间: | 2010-07-20 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Recent work on collaborative filtering has led to a large number of both scalable and theoretically well founded algorithms. In this paper, we show that collaborative filtering and multitask learning are innately closely connected. In particular, the 'learning the kernel' paradigm in multitask learning turns out to be identical to a Ky-Fan norm minimization. This allows us to “import” collaborative filtering techniques into multitask learning and vice versa; in particular, we solve a multitask learning problem where the tasks also have features. We show the feasibility of our approach on two large real-world multitask learning applications. Joint work with Markus Weimer, Wei Chu, Deepayan Chakrabarti. |
| 关 键 词: | 协同过滤; 可扩展; 多任务学习 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-01-13：chenxin |
| 阅读次数: | 46 |