• 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