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» Relevance Ranking Using Kernels
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157
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CVPR
2007
IEEE
15 years 6 months ago
Diverse Active Ranking for Multimedia Search
Interactively learning from a small sample of unlabeled examples is an enormously challenging task, one that often arises in vision applications. Relevance feedback and more recen...
ShyamSundar Rajaram, Charlie K. Dagli, Nemanja Pet...
116
Voted
CIVR
2009
Springer
145views Image Analysis» more  CIVR 2009»
15 years 9 months ago
Jointly optimising relevance and diversity in image retrieval
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...
SPIRE
2005
Springer
15 years 8 months ago
Retrieval Status Values in Information Retrieval Evaluation
Retrieval systems rank documents according to their retrieval status values (RSV) if these are monotonously increasing with the probability of relevance of documents. In this work,...
Amélie Imafouo, Xavier Tannier
IPM
2006
252views more  IPM 2006»
15 years 2 months ago
Automatic ranking of information retrieval systems using data fusion
Measuring effectiveness of information retrieval (IR) systems is essential for research and development and for monitoring search quality in dynamic environments. In this study, w...
Rabia Nuray, Fazli Can
122
Voted
WWW
2001
ACM
16 years 3 months ago
When experts agree: using non-affiliated experts to rank popular topics
In response to a query a search engine returns a ranked list of documents. If the query is on a popular topic (i.e., it matches many documents) then the returned list is usually t...
Krishna Bharat, George A. Mihaila