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WSDM
2009
ACM
104views Data Mining» more  WSDM 2009»
15 years 11 months ago
Top-k aggregation using intersections of ranked inputs
There has been considerable past work on efficiently computing top k objects by aggregating information from multiple ranked lists of these objects. An important instance of this...
Ravi Kumar, Kunal Punera, Torsten Suel, Sergei Vas...
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
15 years 11 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
CIKM
2009
Springer
15 years 10 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua
CIKM
2009
Springer
15 years 10 months ago
Event detection from flickr data through wavelet-based spatial analysis
Detecting events from web resources has attracted increasing research interests in recent years. Our focus in this paper is to detect events from photos on Flickr, an Internet ima...
Ling Chen, Abhishek Roy
CIKM
2009
Springer
15 years 10 months ago
Effective and efficient structured retrieval
Search engines that support structured documents typically support structure created by the author (e.g., title, section), and may also support structure added by an annotation pr...
Le Zhao, Jamie Callan
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