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» Adaptive relevance feedback in information retrieval
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SIGIR
2004
ACM
15 years 3 months ago
Forming test collections with no system pooling
Forming test collection relevance judgments from the pooled output of multiple retrieval systems has become the standard process for creating resources such as the TREC, CLEF, and...
Mark Sanderson, Hideo Joho
87
Voted
MM
2009
ACM
185views Multimedia» more  MM 2009»
15 years 4 months ago
Deep exploration for experiential image retrieval
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
ERCIMDL
2009
Springer
117views Education» more  ERCIMDL 2009»
15 years 4 months ago
A Visualization Tool of Probabilistic Models for Information Access Components
An effective graphic interface is a key tool to improve the fruition of the results retrieved by an Information Retrieval (IR) system. In this work, we describe a two-dimensional...
Lorenzo De Stefani, Giorgio Maria Di Nunzio, Giorg...
WOA
2007
14 years 10 months ago
News Retrieval through a MultiAgent System
— The continuous growth of information sources on the web, together with the corresponding volume of dailyupdated contents, makes the problem of finding news and articles a chal...
Andrea Addis, Giuliano Armano, Francesco Mascia, E...
SIGIR
2010
ACM
15 years 1 months ago
Comparing click-through data to purchase decisions for retrieval evaluation
Traditional retrieval evaluation uses explicit relevance judgments which are expensive to collect. Relevance assessments inferred from implicit feedback such as click-through data...
Katja Hofmann, Bouke Huurnink, Marc Bron, Maarten ...