Finding Novel Patents Based on Patent Association

  • Ling Feng
  • Zhiyong Peng
  • Bin Liu
  • Dunren Che
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8485)


Patent retrieval is critical for technological researches, inventions, and innovative entrepreneurship. There exist a lot of methods for patent retrieval, which usually merely find relevant patents. As a result, outdated patents are frequently found and even ranked ahead of more interesting ones in the result list. However, in most cases, enterprisers and researchers only concern cutting-edge techniques and research results. Novelty-based patent retrieval thus becomes extremely important nowadays. In this paper, we propose an innovative patent finding method that exploits the broad associations between patents. More specifically in this paper, a new concept of patent novelty is first introduced and a novel ranking algorithm is then proposed for proper ranking of patents. Following that, in order to handle rank variations caused by the arrival of new patents, an efficient rank-update algorithm is designed. We have done extensive experimental study that well shows the effectiveness and the efficiency of our proposed method.


patent novelty patent association comparative novelty rate 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ling Feng
    • 1
  • Zhiyong Peng
    • 1
  • Bin Liu
    • 1
  • Dunren Che
    • 2
  1. 1.Computer SchoolWuhan UniversityWuhanP.R. China
  2. 2.Dept. of Computer ScienceSouthern Illinois UniversityCarbondaleUSA

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