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» A study of methods for negative relevance feedback
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ICMCS
2006
IEEE
144views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Using Implicit Relevane Feedback to Advance Web Image Search
Although relevance feedback has been extensively studied in content-based image retrieval in the academic area, no commercial web image search engine has employed the idea. There ...
En Cheng, Feng Jing, Mingjing Li, Wei-Ying Ma, Hai...
PCM
2007
Springer
109views Multimedia» more  PCM 2007»
14 years 2 months ago
Modeling User Feedback Using a Hierarchical Graphical Model for Interactive Image Retrieval
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
Jian Guan, Guoping Qiu
ICASSP
2009
IEEE
14 years 2 months ago
Exploiting user feedback for language model adaptation in meeting recognition
We investigate language model (LM) adaptation in a meeting recognition application, where the LM is adapted based on recognition output from relevant prior meetings and partial ma...
Dimitra Vergyri, Andreas Stolcke, Gökhan T&uu...
SIGIR
2009
ACM
14 years 2 months ago
Approximating true relevance distribution from a mixture model based on irrelevance data
Pseudo relevance feedback (PRF), which has been widely applied in IR, aims to derive a distribution from the top n pseudo relevant documents D. However, these documents are often ...
Peng Zhang, Yuexian Hou, Dawei Song
TREC
2007
13 years 9 months ago
University of Twente at the TREC 2007 Enterprise Track: Modeling Relevance Propagation for the Expert Search Task
This paper describes several approaches which we used for the expert search task of the TREC 2007 Enterprise track. We studied several methods of relevance propagation from docume...
Pavel Serdyukov, Henning Rode, Djoerd Hiemstra