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» Gravitation-based model for information retrieval
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SIGIR
2011
ACM
12 years 11 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
CIVR
2009
Springer
192views Image Analysis» more  CIVR 2009»
14 years 2 months ago
Example based video filters
Many of the successful multimedia retrieval systems focus on developing efficient and effective video retrieval solutions with the help of appropriate index structures. In these ...
Mihir Jain, Sreekanth Vempati, Chandrika Pulla, C....
CIKM
2007
Springer
14 years 2 months ago
Generalizing from relevance feedback using named entity wildcards
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
Abhimanyu Lad, Yiming Yang
SAC
2005
ACM
14 years 1 months ago
A hybrid approach for multiresolution modeling of large-scale scientific data
Simulations of complex scientific phenomena involve the execution of massively parallel computer programs. These simulation programs generate large-scale multidimensional data set...
Tina Eliassi-Rad, Terence Critchlow
GI
2005
Springer
14 years 1 months ago
Distributed User Modeling for Situated Interaction
: A distributed service to model and control contextual information in mobile and ubiquitous computing environments is presented in this paper. We introduce the general user model ...
Dominik Heckmann