Semantic Dimensionality and Effective Data Fusion in Information Retrieval

本项目研究了结合两个或多个信息检索方案（数据融合）的好处。方法的开发和测试使用来自文本检索会议的大型既定测试集合。该项目正在开发预测何时数据融合将有益的方法，并正在开发使用非线性组合规则的方法。目标是在预测精度方面实现15%的相对改进，在融合方法的有效性方面实现15%的相对改进。这个项目的动机是万维网上信息的爆炸，包括开发专门的测试，将这个项目中开发的新方法与网络上已有的其他“元搜索引擎”进行比较。欲了解更多信息，请访问网站：http://www.scils.rutgers.edu/research/alexandria/SD.html

This project studies the benefits of combining two or more information retrieval schemes (data fusion). Methods are developed and tested using a large established test collection from the Text Retrieval conferences. The project is developing methods to predict when data fusion will be beneficial, and is developing methods that use non-linear rules of combination. The goal is to achieve a 15% relative improvement in the accuracy of predictions, and a 15% relative improvement in the effectiveness of the fused method. This project is motivated by the explosion of information in the World Wide Web, and includes development of specialized tests for comparing the new methods developed in this project to other "meta-search engines" already on the Web. For further information consult the Web site: http://www.scils.rutgers.edu/research/alexandria/SD.html