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SGER: Personalization by Partial Evaluation

SGER: Personalization by Partial Evaluation
SGER:通过部分评估实现个性化
批准号:
0136182
负责人:
Naren Ramakrishnan
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-10-01 至 2004-09-30

项目摘要

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中文摘要
翻译
信息个性化是指自动调整信息的内容、结构和表示,以适应个人用户。本研究项目的目标是为信息个性化开发一种建模方法。在这个项目中开发的称为PIPE(“个性化是部分评估”)的方法没有对信息资源的特定个性化算法或格式做出承诺。相反,它强调以一种允许其后续个性化的方式表示信息系统。利用这种方法,可以对网站和其他信息资源进行建模和个性化,以满足用户的信息寻求目标。在这个项目中进行的具体活动包括(1)描述这种方法适用的信息系统的类型,以及(2)构建“个性化”的信息系统设计。第一项活动是通过定义如何构建信息系统及其提供的表示来实现的。第二个活动涉及评估信息系统设计的“个性”度量的定义。需要加强人机交互方法和系统的评价程序,以便为模型的制定和验证提供所需的输入。这个项目的结果将有助于严格定义“个性化信息空间”。有了一个正式的个性化模型,我们就可以设计出更好的信息系统,帮助用户实现他们的信息搜索目标。
英文摘要
Information personalization refers to the automatic adjustment of information content, structure, and presentation tailored to an individual user. The goal of this research project is to develop a modeling methodology for information personalization. The methodology developed in this project termed PIPE ("Personalization is Partial Evaluation") makes no commitments to a particular personalization algorithm or format for information resources. Instead it emphasizes the representation of information systems in a way that allows their subsequent personalization. With this methodology, web sites and other information resources can be modeled and personalized for users' information-seeking goals. The specific activities conducted in this project include (1) characterizing the types of information systems for which this methodology is applicable and (2) constructing "personable" information system designs. The first activity is approached by defining how information systems are constructed and the representations they afford. The second activity involves the definition of a "personability" metric for evaluating information system designs. Human-computer interaction methodologies and systematic procedures for evaluation need to be enhanced to provide the needed input for the model formulation and validation. The results of this project will help define "personable information spaces" rigorously. With a formal model for personalization, we can design better information systems that can help users achieve their information-seeking goals.
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