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Maarten de Rijke院士学术报告会

报告时间 5月21日15:00-16:00

Maarten de Rijke院士学术报告会

地点青岛校区N3-320

时间52115:00-16:00

题目Unbiased Learning to Rank from User Interactions

报告人Maarten de Rijke教授,荷兰阿姆斯特丹大学

内容Learning to rank is a core ingredient of search engines, recommender systems, and digital assistants. Supervised approaches to learning to rank are limited in that Annotations often disagree with user preferences.  User interactions solve this problem but bring noise and biases. Counter-factual approaches allow for unbiased learning to rank: if an accurate user model can be learned, we can adjust for biases; we only require randomization to infer a user model. In contrast, online approaches allow for unbiased and responsive learning to rank, as they immediately adapt to user behavior and perform randomization at each step, though limited. Clearly, different situations suit different approaches. We report on recent advances and on recent findings on comparing the two families of approaches.


报告人概况:Maarten de Rijke,荷兰皇家艺术与科学院院士,荷兰阿姆斯特丹大学教授,荷兰国家人工智能创新中心(Innovation Center for Artificial Intelligence)创始人和主任。主要研究领域包括自然语言处理、信息检索、常识挖掘等。Maarten de Rijke教授目前还领导着世界著名的 Information Language Processing and System(ILPS) 实验室。他在自然语言处理、信息检索、机器学习和数据挖掘的顶级会议和期刊上共发表了 800 余 篇文章,特别是在专家发现(expert finding), 在线学习(online learning), 模态逻辑(modal logic)以及问答系统(question-answering) 领域做出了卓越贡献。根据GOOGLE学术的统计,他目前的论文引用量超过2万次, h-index 69Maarten de Rijke 教授多次担任信息检索领域各种会议的大会或程序委员会主席,其中包括SIGIR, WWW, WSDM CIKMMaarten de Rijke教授目前也是多个人工智能领域的顶级期刊的主编,其中包括ACM Transactions on Information Systems (TOIS, 中国计算机学会A类期刊)Foundations and Trends in Information Retrieval等。2017 年获得代表国际信息检索领域终身成就的 Tony Kent Strix 奖。

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