A link-based similarity measure for scientific literature

  • Authors:
  • Seok-Ho Yoon;Sang-Wook Kim;Sunju Park

  • Affiliations:
  • Hanyang University, Seoul, South Korea;Hanyang University, Seoul, South Korea;Yonsei University, Seoul, South Korea

  • Venue:
  • Proceedings of the 19th international conference on World wide web
  • Year:
  • 2010

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Abstract

In this paper, we propose a new approach to measure similarities among academic papers based on their references. Our similarity measure uses both in-link and out-link by transforming in-link and out-link into undirected links.