Metadata Based Matching of Documents and User Profiles

نویسندگان

  • Eerika Savia
  • Teppo Kurki
  • Sami Jokela
چکیده

In information filtering documents are matched against user interest profiles. This is based on some measure for similarity or distance between a representation of documents and user profiles. Both the representation and the distance measure should make comparisons meaningful. A common problem is caused by closely related concepts that are considered independent in the representation model. Furthermore, the matching should not be considered symmetric, since documents may cover some area of interest very well and should be matched against parts of the user profile instead of the whole profile.

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تاریخ انتشار 1998