Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
Automatic Document Classification (ADC) is still one of the major information retrieval problems. It usually employs a supervised learning strategy, where we first build a classif...
Thiago Salles, Leonardo C. da Rocha, Gisele L. Pap...
This article describes the use of the medGIFT and easyIR retrieval systems for three of the four ImageCLEF 2005 retrieval tasks. We participated in the ad–hoc retrieval task that...
Video is increasingly important to digital libraries and archives as both primary content and as context for the primary objects in collections. Services like YouTube not only off...
Gary Marchionini, Chirag Shah, Christopher A. Lee,...
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...