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Fifth IEEE International Conference on Data Mining (ICDM'05) (2005)
Houston, Texas
Nov. 27, 2005 to Nov. 30, 2005
ISSN: 1550-4786
ISBN: 0-7695-2278-5
pp: 673-676
Toshihiro Kamishima , National Institute of Advanced Industrial Science and Technology
Hideto Kazawa , Nippon Telegraph and Telephone Corporation
Shotaro Akaho , National Institute of Advanced Industrial Science and Technology
ABSTRACT
Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results or bestseller lists. In spite of their importance, methods of processing orders have received little attention. However, research concerning orders has recently become common; in particular, researchers have developed various methods for the task of Supervised Ordering to acquire functions for object sorting from example orders. Here, we give a unified view of these methods and our new one, and empirically survey their merits and demerits.
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CITATION

H. Kazawa, T. Kamishima and S. Akaho, "Supervised Ordering — An Empirical Survey," Fifth IEEE International Conference on Data Mining (ICDM'05)(ICDM), Houston, Texas, 2005, pp. 673-676.
doi:10.1109/ICDM.2005.138
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