DocumentCode
2851061
Title
Filling-in missing objects in orders
Author
Kamishima, Toshihiro ; Akaho, Shotaro
Author_Institution
Nat. Inst. of Adv. Ind. Sci. & Technol., Ibaraki, Japan
fYear
2004
fDate
1-4 Nov. 2004
Firstpage
423
Lastpage
426
Abstract
Filling-in techniques are important, since missing values frequently appear in real data. Such techniques have been established for categorical or numerical values. Though lists of ordered objects are widely used as representational forms (e.g., Web search results, best-seller lists), filling-in techniques for orders have received little attention. We therefore propose a simple but effective technique to fill-in missing objects in orders. We built this technique into our collaborative filtering system.
Keywords
data handling; information filtering; collaborative filtering system; order filling-in; Collaboration; Electronic commerce; Filtering; Marketing and sales; Search engines; Web search;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining, 2004. ICDM '04. Fourth IEEE International Conference on
Print_ISBN
0-7695-2142-8
Type
conf
DOI
10.1109/ICDM.2004.10047
Filename
1410326
Link To Document