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...
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...
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...
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...
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...