ITR: Trust and the Information Consumer: A Graph Theory Approach

信任及其对消费者行为的影响这一主题近来在电子商务中受到越来越多的关注，特别是在建立和评估单个网站的可信度方面。然而，依靠互联网收集信息的消费者最好使用整合来自许多不同来源的信息并衡量综合信息的可信度的工具。我们建议开发一种方法，解决这个问题的组装信息产品从许多来源和评估其可信度。利用文本分析，知识获取，图论和可视化以及统计推断中的技术，我们将使用户能够从一组网页中生成自动摘要，评估其可信度，并在视觉上导航信息模型。最后的交付成果是实现该方法的软件包。拟议的研究将有利于互联网社区提供一种新的技术，填补了目前的信息检索和信任评估技术留下的空白。此外，我们建议开发的技术有可能有助于各种各样的领域面临的问题，分析样本的图值数据。

The topic of trust and its influence on consumer behavior has received growing attention of late with respect to electronic commerce, especially with regard to establishing and evaluating the trustworthiness of a single web site. However, consumers who rely on the Internet for information gathering are better served by tools that integrate information from many different sources and measure the trustworthiness of the integrated body of information. We propose to develop a methodology that addresses this problem of assembling an information product from many sources and evaluating its trustworthiness. Drawing on techniques in text analysis, knowledge acquisition, graph theory and visualization, and statistical inference, we will enable the user to generate an automated summary from a group of web pages, evaluate its trustworthiness, and visually navigate the information models. The final deliverable is a software package that implements the methodology. The proposed research will benefit the Internet community by providing a new technology that fills the void left by current information retrieval and trust assessment technologies. In addition, the techniques we propose to develop have the potential to contribute to a wide variety of fields confronted with the problem of analyzing samples of graph-valued data.