图 书 馆
用户模型从积极的信息检索的隐式反馈User models from implicit feedback for proactive information retrieval |
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| 课程网址: | http://videolectures.net/um05_kaski_umifp/ |
| 主讲教师: | Samuel Kaski |
| 开课单位: | 阿尔托大学 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Our research consortium develops user modeling methods for proactive applications. In this project we use machine learning methods for predicting users’ preferences from implicit relevance feedback. Our prototype application is information retrieval, where the feedback signal is measured from eye movements or user’s behavior. Relevance of a read text is extracted from the feedback signal with models learned from a collected data set. Since it is hard to define relevance in general, we have constructed an experimental setting where relevance is known a priori. |
| 关 键 词: | 用户模型; 信息检索; 隐式反馈 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-29：yumf |
| 阅读次数: | 44 |