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DOI: 10.4230/OASIcs.SLATE.2016.2
A Re-Ranking Method Based on Irrelevant Documents in Ad-Hoc Retrieval

Authors: Rabeb Mbarek, Mohamed Tmar, Hawete Hattab, and Mohand Boughanem

Published in: OASIcs, Volume 51, 5th Symposium on Languages, Applications and Technologies (SLATE'16) (2016)

Abstract
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.
Cite as

Rabeb Mbarek, Mohamed Tmar, Hawete Hattab, and Mohand Boughanem. A Re-Ranking Method Based on Irrelevant Documents in Ad-Hoc Retrieval. In 5th Symposium on Languages, Applications and Technologies (SLATE'16). Open Access Series in Informatics (OASIcs), Volume 51, pp. 2:1-2:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@InProceedings{mbarek_et_al:OASIcs.SLATE.2016.2,
  author =	{Mbarek, Rabeb and Tmar, Mohamed and Hattab, Hawete and Boughanem, Mohand},
  title =	{{A Re-Ranking Method Based on Irrelevant Documents in Ad-Hoc Retrieval}},
  booktitle =	{5th Symposium on Languages, Applications and Technologies (SLATE'16)},
  pages =	{2:1--2:10},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-006-4},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{51},
  editor =	{Mernik, Marjan and Leal, Jos\'{e} Paulo and Gon\c{c}alo Oliveira, Hugo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2016.2},
  URN =		{urn:nbn:de:0030-drops-60072},
  doi =		{10.4230/OASIcs.SLATE.2016.2},
  annote =	{Keywords: Re-ranking, absorption of irrelevance, vector product}
}
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