From “Identical” to “Similar”: Fusing Retrieved Lists Based on Inter-Document Similarities

  • Anna Khudyak
  • Published 2011

Abstract

Methods for fusing document lists that were retrieved in response to a query often utilize the retrieval scores and/or ranks of documents in the lists. We present a novel fusion approach that is based on using, in addition, information induced from inter-document similarities. Specifically, our methods let similar documents from different lists provide relevance-status support to each other. We use a graph-based method to model relevancestatus propagation between documents. The propagation is governed by inter-documentsimilarities and by retrieval scores of documents in the lists. Empirical evaluation demonstrates the effectiveness of our methods in fusing TREC runs. The performance of our most effective methods transcends that of effective fusion methods that utilize only retrieval scores or ranks.

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Cite this paper

@inproceedings{Khudyak2011FromT, title={From “Identical” to “Similar”: Fusing Retrieved Lists Based on Inter-Document Similarities}, author={Anna Khudyak}, year={2011} }