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» Ranking of Object Summaries
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WSDM
2009
ACM
104views Data Mining» more  WSDM 2009»
15 years 7 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...
101
Voted
SIGMOD
2001
ACM
108views Database» more  SIGMOD 2001»
16 years 19 days ago
PREFER: A System for the Efficient Execution of Multi-parametric Ranked Queries
Users often need to optimize the selection of objects by appropriately weighting the importance of multiple object attributes. Such optimization problems appear often in operation...
Vagelis Hristidis, Nick Koudas, Yannis Papakonstan...
118
Voted
ICML
2004
IEEE
15 years 6 months ago
Optimising area under the ROC curve using gradient descent
This paper introduces RankOpt, a linear binary classifier which optimises the area under the ROC curve (the AUC). Unlike standard binary classifiers, RankOpt adopts the AUC stat...
Alan Herschtal, Bhavani Raskutti
103
Voted
ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
15 years 7 months ago
Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization
Multi-Document Summarization deals with computing a summary for a set of related articles such that they give the user a general view about the events. One of the objectives is th...
Rachit Arora, Balaraman Ravindran
89
Voted
ARTMED
2005
109views more  ARTMED 2005»
15 years 11 days ago
Customization in a unified framework for summarizing medical literature
Objectives: We present the summarization system in the PERSIVAL medical digital library. Although we discuss the context of our summarization research within the PERSIVAL platform...
Noemie Elhadad, Min-Yen Kan, Judith L. Klavans, Ka...