Using Proportional Transportation Distances for Measuring Document Similarity

  • Xiaojun Wan
  • Jianwu Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3936)


A novel document similarity measure based on the Proportional Transportation Distance (PTD) is proposed in this paper. The proposed measure improves on the previously proposed similarity measure based on optimal matching by allowing many-to-many matching between subtopics of documents. After documents are decomposed into sets of subtopics, the Proportional Transportation Distance is employed to evaluate the similarity between sets of subtopics for two documents by solving a transportation problem. Experiments on TDT-3 data demonstrate its good ability for measuring document similarity and also its high robustness, i.e. it does not rely on the underlying document decomposition algorithm largely as the optimal matching based measure.


Transportation Problem Mean Average Precision Vector Space Model Optimal Match Document Similarity 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Xiaojun Wan
    • 1
  • Jianwu Yang
    • 1
  1. 1.Institute of Computer Science and TechnologyPeking UniversityBeijingChina

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