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» Adapting boosting for information retrieval measures
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SIGIR
2005
ACM
14 years 2 months ago
Boosted decision trees for word recognition in handwritten document retrieval
Recognition and retrieval of historical handwritten material is an unsolved problem. We propose a novel approach to recognizing and retrieving handwritten manuscripts, based upon ...
Nicholas R. Howe, Toni M. Rath, R. Manmatha
SIGIR
2008
ACM
13 years 8 months ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
ECIR
2008
Springer
13 years 10 months ago
Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores
Abstract. The Information Retrieval community uses a variety of performance measures to evaluate the effectiveness of scoring functions. In this paper, we show how to adapt six pop...
Frank McSherry, Marc Najork
ECIR
2006
Springer
13 years 10 months ago
Lexical Entailment for Information Retrieval
Abstract. Textual Entailment has recently been proposed as an application independent task of recognising whether the meaning of one text may be inferred from another. This is pote...
Stéphane Clinchant, Cyril Goutte, Ér...
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
14 years 3 months ago
Swarming to rank for information retrieval
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...