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.
@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.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} }
Feedback for Dagstuhl Publishing