DocumentCode :
2865866
Title :
Supervised ordering - an empirical survey
Author :
Kamishima, Toshihiro ; Kazawa, Hideto ; Akaho, Shotaro
Author_Institution :
Nat. Inst. of Adv. Ind. Sci. & Technol., Japan
fYear :
2005
fDate :
27-30 Nov. 2005
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 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.
Keywords :
learning (artificial intelligence); sorting; object sorting; ordered lists; ordered object; supervised ordering; Communication industry; Data mining; Laboratories; Marketing and sales; Random variables; Search engines; Sorting; Telegraphy; Telephony; Web search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining, Fifth IEEE International Conference on
ISSN :
1550-4786
Print_ISBN :
0-7695-2278-5
Type :
conf
DOI :
10.1109/ICDM.2005.138
Filename :
1565754
Link To Document :
بازگشت