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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

项目成果

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中文摘要
翻译
信息个性化是指针对个人用户定制的信息内容、结构和呈现方式的自动调整。本研究项目的目标是开发一种用于信息个性化的建模方法。在这个项目中开发的方法称为PIPE(“个性化是部分评估”),它不承诺为信息资源提供特定的个性化算法或格式。相反,它强调以一种允许其随后的个性化的方式来表示信息系统。使用这种方法,网站和其他信息资源可以根据用户的信息搜索目标进行建模和个性化。该项目开展的具体活动包括:(1)确定该方法适用的信息系统类型的特征;(2)构建“可人性化”的信息系统设计。第一个活动是通过定义信息系统是如何构建的以及它们所提供的表示来实现的。第二项活动涉及评估信息系统设计的“人性化”指标的定义。需要加强评价的人机交互方法和系统程序,以便为模型的制定和验证提供必要的投入。该项目的成果将有助于严格定义“可人性化的信息空间”。有了一个形式化的个性化模型,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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