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An empirical testing of user stereotypes of information retrieval systems

机译：对信息检索系统用户构造型的实证测试

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摘要

Stereotyping is a technique used in many information systems to represent user groups and/or to generate initial individual user models. However, there has been a lack of evidence on the accuracy of their use in representing users. We propose a formal evaluation method to test the accuracy or homogeneity of the stereotypes that are based on users' explicit characteristics. Using the method, the results of an empirical testing on 11 common user stereotypes of information retrieval (IR) systems are reported. The participants' memberships in the stereotypes were predicted using discriminant analysis, based on their IR knowledge. The actual membership and the predicted membership of each stereotype were compared. The data show that "librarians/IR professionals" is an accurate stereotype in representing its members, while some others, such as "undergraduate students" and "social sciences/humanities" users, are not accurate stereotypes. The data also demonstrate that based on the user's IR knowledge a stereotype can be made more accurate or homogeneous. The results show the promise that our method can help better detect the differences among stereotype members, and help with better stereotype design and user modeling. We assume that accurate stereotypes have better performance in user modeling and thus the system performance.Limitations and future directions of the study are discussed. (C) 2004 Elsevier Ltd. All rights reserved.
机译：刻板印象是许多信息系统中用来表示用户组和/或生成初始个体用户模型的技术。但是，缺乏关于其在代表用户中使用的准确性的证据。我们提出一种正式的评估方法，以测试基于用户明确特征的刻板印象的准确性或同质性。使用该方法，报告了对11种常见的用户信息检索（IR）构造型进行实证测试的结果。使用判别分析根据参与者的IR知识预测参与者的成见。比较每个刻板印象的实际成员资格和预测成员资格。数据显示，“馆员/ IR专业人员”是代表其成员的准确刻板印象，而其他一些人（例如“本科生”和“社会科学/人文”用户）不是准确的刻板印象。数据还表明，基于用户的IR知识，可以使刻板印象更加准确或同质。结果表明，我们的方法有望更好地检测刻板印象成员之间的差异，并有助于更好的刻板印象设计和用户建模。我们假设准确的刻板印象在用户建模中具有更好的性能，因此在系统性能方面也是如此。讨论了研究的局限性和未来的方向。 （C）2004 Elsevier Ltd.保留所有权利。

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