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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...
CONTEXT
2007
Springer
14 years 2 months ago
A Qualitative Look at Eye-tracking for Implicit Relevance Feedback
Our goal in this study was to explore the potentials of extracting features from eye-tracking data that have the potential to improve performance in implicit relevance feedback. We...
Kirsten Kirkegaard Moe, Jeanette M. Jensen, Birger...
PCM
2004
Springer
114views Multimedia» more  PCM 2004»
14 years 2 months ago
Sample Selection Strategies for Relevance Feedback in Region-Based Image Retrieval
The success of the relevance feedback search paradigm in image retrieval is influenced by the selection strategy employed by the system to choose the images presented to the user ...
Marin Ferecatu, Michel Crucianu, Nozha Boujemaa
ECIR
2009
Springer
14 years 5 months ago
A Comparative Study of Utilizing Topic Models for Information Retrieval
We explore the utility of different types of topic models for retrieval purposes. Based on prior work, we describe several ways that topic models can be integrated into the retrie...
Xing Yi, James Allan
JCO
2010
75views more  JCO 2010»
13 years 7 months ago
A quadratic lower bound for Rocchio's similarity-based relevance feedback algorithm with a fixed query updating factor
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...
Zhixiang Chen, Bin Fu, John Abraham