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  • 标题:A Re-Ranking Method Based on Irrelevant Documents in Ad-Hoc Retrieval
  • 本地全文:下载
  • 作者:Rabeb Mbarek ; Mohamed Tmar ; Hawete Hattab
  • 期刊名称:OASIcs : OpenAccess Series in Informatics
  • 电子版ISSN:2190-6807
  • 出版年度:2016
  • 卷号:51
  • 页码:1-10
  • DOI:10.4230/OASIcs.SLATE.2016.2
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:In this paper, we propose a novel approach for document re-ranking, which relies on the concept of negative feedback represented by irrelevant documents. In a previous paper, a pseudo-relevance feedback method is introduced using an absorbing document ~d which best fits the user's need. The document ~d is orthogonal to the majority of irrelevant documents. In this paper, this document is used to re-rank the initial set of ranked documents in Ad-hoc retrieval. The evaluation carried out on a standard document collection shows the effectiveness of the proposed approach.
  • 关键词:Re-ranking; absorption of irrelevance; vector product
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