Semantic Dimensionality and Effective Data Fusion in Information Retrieval

本项目研究结合两个或两个以上的信息检索方案（数据融合）的好处。方法的开发和测试使用一个大的建立测试收集从文本检索会议。该项目正在开发预测数据融合何时有益的方法，并正在开发使用非线性组合规则的方法。我们的目标是实现一个15%的预测精度的相对提高，和一个15%的融合方法的有效性的相对提高。这个项目的动机是万维网上信息的爆炸性增长，并包括开发专门的测试，以将这个项目开发的新方法与万维网上已有的其他“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