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» Adaptive relevance feedback in information retrieval
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ICIP
2009
IEEE
16 years 7 months ago
Mean Shift Feature Space Warping For Relevance Feedback
Relevance feedback has been taken as an essential tool to enhance content-based information retrieval systems by keeping the user in the retrieval loop. Among the fundamental rele...
SIGIR
2010
ACM
15 years 10 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
ICIP
2002
IEEE
16 years 7 months ago
Optimal recursive similarity measure estimation for interactive content-based image retrieval
In this paper, a new recursive algorithm is proposed for optimal estimation of similarity measure used in a content-based retrieval system. This is performed through a relevance f...
Anastasios D. Doulamis, Nikolaos D. Doulamis
IAT
2010
IEEE
15 years 4 months ago
Information Retrieval eXperience (IRX): Towards a Human-Centered Personalized Model of Relevance
We approach Information Retrieval (IR) from a User eXperience (UX) perspective. Through introducing a model for Information Retrieval eXperience (IRX), this paper operationalizes a...
Frans van der Sluis, Egon L. van den Broek, Betsy ...
ICCV
2011
IEEE
14 years 6 months ago
HEAT: Iterative Relevance Feedback with One Million Images
It has been shown repeatedly that iterative relevance feedback is a very efficient solution for content-based image retrieval. However, no existing system scales gracefully to hu...
Nicolae Suditu, Francois Fleuret