Towards intelligent search interfaces: visualising query results by relating meta-data to user-relevance

M.D. Lee, G.M. Roberts, F. Sollich, C.J. Woodruff
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Abstract

Summary form only given. Our concern is to exploit user behaviour in the interaction between humans and computers. By doing this we expect to move towards adaptive human-computer interaction. The work reported addresses the coordinated use of user behaviours and meta-data generated during interactive computer-mediated information searches. The context used to develop this idea is that of searching the Web for information. This work is in the spirit of the Okapi Projects (Robertson, 1997; Beaulieu, 1997), and the TREC Interactive Track Matrix (Lagergren and Over, 1998), but differs in that access to user behaviours is completely unobtrusive.
面向智能搜索界面:通过将元数据与用户相关性关联起来,将查询结果可视化
只提供摘要形式。我们关注的是利用人与计算机交互中的用户行为。通过这样做,我们期望走向自适应人机交互。报告的工作涉及在交互式计算机中介信息搜索过程中生成的用户行为和元数据的协调使用。用于开发此想法的上下文是在Web上搜索信息。这项工作是在霍加皮项目的精神(罗伯逊,1997;Beaulieu, 1997)和TREC交互式轨迹矩阵(Lagergren and Over, 1998),但不同之处在于对用户行为的访问是完全不引人注目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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