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Fourth IEEE International Conference on Data Mining (ICDM'04)
Filling-in Missing Objects in Orders
Brighton, United Kingdom
November 01-November 04
ISBN: 0-7695-2142-8
Toshihiro Kamishima, National Institute of Advanced Industrial Science and Technology (AIST), Japan
Shotaro Akaho, National Institute of Advanced Industrial Science and Technology (AIST), Japan
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.
Citation:
Toshihiro Kamishima, Shotaro Akaho, "Filling-in Missing Objects in Orders," icdm, pp.423-426, Fourth IEEE International Conference on Data Mining (ICDM'04), 2004
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