From "Identical" to "Similar": Fusing Retrieved Lists Based on Inter-document Similarities

  • Authors:
  • Anna Khudyak Kozorovitzky;Oren Kurland

  • Affiliations:
  • Faculty of Industrial Engineering and Management, Technion, Haifa, Israel 32000;Faculty of Industrial Engineering and Management, Technion, Haifa, Israel 32000

  • Venue:
  • ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
  • Year:
  • 2009

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Abstract

We present a novel approach to fusing document lists that are retrieved in response to a query. Our approach is based on utilizing information induced from inter-document similarities . Specifically, the key insight guiding the derivation of our methods is that similar documents from different lists can provide relevance-status support to each other. We use a graph-based method to model relevance-status propagation between documents. The propagation is governed by inter-document-similarities and by retrieval scores of documents in the lists. Empirical evaluation shows the effectiveness of our methods in fusing TREC runs .