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» Active feedback in ad hoc information retrieval
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WWW
2009
ACM
14 years 9 months ago
Advertising keyword generation using active learning
This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a...
Hao Wu, Guang Qiu, Xiaofei He, Yuan Shi, Mingcheng...
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
14 years 2 months ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...
MM
2005
ACM
160views Multimedia» more  MM 2005»
14 years 2 months ago
Putting active learning into multimedia applications: dynamic definition and refinement of concept classifiers
The authors developed an extensible system for video exploitation that puts the user in control to better accommodate novel situations and source material. Visually dense displays...
Ming-yu Chen, Michael G. Christel, Alexander G. Ha...
SIGIR
2004
ACM
14 years 2 months ago
User biased document language modelling
Capitalizing on the intuitive underlying assumptions of Language Modelling for Ad-Hoc Retrieval we present a novel approach that is capable of injecting the user’s context of th...
Leif Azzopardi, Mark Girolami, Cornelis Joost van ...
INEX
2009
Springer
14 years 1 months ago
Overview of the INEX 2009 Ad Hoc Track
This paper gives an overview of the INEX 2009 Ad Hoc Track. The main goals of the Ad Hoc Track were three-fold. The first goal was to investigate the impact of the collection scal...
Shlomo Geva, Jaap Kamps, Miro Lehtonen, Ralf Schen...