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学习学习的隐式查询从凝视模式

Learning to Learn Implicit Queries from Gaze Patterns
课程网址: http://videolectures.net/icml08_puolamaki_lli/  
主讲教师: Kai Puolamäki
开课单位: 芬兰职业健康研究所
开课时间: 2008-08-07
课程语种: 英语
中文简介:
在没有明确查询的情况下,另一种方法是尝试从隐式反馈信号(例如点击流或眼动追踪)推断用户的兴趣。然后可以将进一步搜索的兴趣表达为隐式查询。我们将此任务表述为概率模型,可以将其解释为一种转移学习和元学习。在小规模信息检索任务中,概率模型被证明优于早期基于内核的方法。
课程简介: In the absence of explicit queries, an alternative is to try to infer users' interests from implicit feedback signals, such as clickstreams or eye tracking. The interests, formulated as an implicit query, can then be used in further searches. We formulate this task as a probabilistic model, which can be interpreted as a kind of transfer learning and meta-learning. The probabilistic model is demonstrated to outperform an earlier kernel-based method in a small-scale information retrieval task.
关 键 词: 隐式反馈信号; 搜索; 概率模型
课程来源: 视频讲座网
最后编审: 2020-07-29:yumf
阅读次数: 39