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» Diversifying the image retrieval results
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MM
2006
ACM
175views Multimedia» more  MM 2006»
13 years 10 months ago
Diversifying the image retrieval results
In the area of image retrieval, post-retrieval processing is often used to refine the retrieval results to better satisfy users’ requirements. Previous methods mainly focus on p...
Kai Song, YongHong Tian, Wen Gao, Tiejun Huang
WWW
2010
ACM
13 years 8 months ago
Diversifying landmark image search results by learning interested views from community photos
In this paper, we demonstrate a novel landmark photo search and browsing system, Agate, which ranks landmark image search results considering their relevance, diversity and qualit...
Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Y...
VLC
2008
178views more  VLC 2008»
13 years 4 months ago
An exploration of diversified user strategies for image retrieval with relevance feedback
Given the difficulty of setting up large-scale experiments with real users, the comparison of content-based image retrieval methods using relevance feedback usually relies on the ...
Michel Crucianu, Jean-Philippe Tarel, Marin Fereca...
IIR
2010
13 years 3 months ago
GrOnto: A Granular Ontology for Diversifying Search Results
Results diversification is an approach used in literature to cover the possible interpretations of the results produced by query evaluation. For diversifying search results we pr...
Silvia Calegari, Gabriella Pasi
CIKM
2010
Springer
13 years 3 months ago
Selectively diversifying web search results
Search result diversification is a natural approach for tackling ambiguous queries. Nevertheless, not all queries are equally ambiguous, and hence different queries could bene...
Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis