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处理信息过载

Taming Information Overload
课程网址: http://videolectures.net/nipsworkshops2010_guestrin_tio/  
主讲教师: Carlos Guestrin
开课单位: 卡内基梅隆大学
开课时间: 2011-01-13
课程语种: 英语
中文简介:
互联网使我们能够使信息民主化,但也给我们带来了新的挑战:信息超载。由于存在大量信息,因此很难跟踪对我们最重要的信息。这个问题不仅限于网络:民主进程可能从公开辩论中受益,但个人很难理解问题的所有方面。而且,在科学方面,随着研究出版物的激增,任何人都难以掌握自己领域的发展,更不用说制造可以变革的领域之间的联系类型。在本次演讲中,我将介绍三个概念性工作,它们可以帮助驯服信息过载:•更丰富的查询模型超越简单的关键字搜索。•个性化帮助用户自适应地表达他们的信息需求。•结构化输出表达文档之间的关系,而不是简单地返回列表例如,允许用户连接新文章之间的点。
课程简介: The internet has allowed us to democratize information, but has also brought us a new challenge: Information Overload. With the huge amounts of information out there, it can be very difficult to keep track of what’s most important to us. This problem is not limited to the web: The democratic process can potential benefit from open debate, but it is very difficult for an individual to understand all the facets of an issue. And, in science, with the proliferation of research publications, it is difficult for anyone to stay on top of the developments in their own fields, let alone make the types of connections between fields that can be transformative. In this talk, I will cover three conceptual efforts that together could help tame information overload: • Richer query models -going beyond simple keyword search. • Personalization -helping the user adaptively express their information needs. • Structured outputs -expressing relationships between documents, rather than simply returning a list of documents, allowing the user, for example, to connect the dots between news articles.
关 键 词: 互联网; 信息超载; 查询模型
课程来源: 视频讲座网
最后编审: 2019-09-07:lxf
阅读次数: 56