Relating RSS News/Items

نویسندگان

  • Fekade Getahun Taddesse
  • Joe Tekli
  • Richard Chbeir
  • Marco Viviani
  • Kokou Yétongnon
چکیده

Merging related RSS news (coming from one or different sources) is beneficial for end-users with different backgrounds (journalists, economists, etc.), particularly those accessing similar information. In this paper, we provide a practical approach to both: measure the relatedness, and identify relationships between RSS elements. Our approach is based on the concepts of semantic neighborhood and vector space model, and considers the content and structure of RSS news items.

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تاریخ انتشار 2009