This paper reports on work done for the Genomics Track at TREC 2004 by ConverSpeech LLC in conjunction with scientists at the Saccharomyces Genome Database (SGD), the model organi...
Colleen E. Crangle, Alex Zbyslaw, J. Michael Cherr...
This document describes the CLIPS experiments in the CLEF 2005 campaign. We used a surface-syntactic parser in order to extract new indexing terms. These terms are considered synta...
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
The main goal of this research is to improve Information Retrieval Systems by enabling them to generate search outcomes that are relevant and customized to each specific user. Our ...
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...