Ranking Invariance Based on Similarity Measures in Document Retrieval - Archive ouverte HAL
Communication Dans Un Congrès Année : 2006

Ranking Invariance Based on Similarity Measures in Document Retrieval

Résumé

To automatically retrieve documents or images from a data-base, retrieval systems use similarity measures to compare a request based on features extracted from the documents. As a result, documents are ordered in a list by decreasing correspondance to the request. Several comparison measures are used in the field and it is difficult to choose one or another. In this paper, we show that they can be grouped into classes of equivalent behavior. Then, in a query by example process, the choice of these measure can be reduced to the choice of a family of them.
Fichier principal
Vignette du fichier
amr05LNCS.pdf (1.4 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-01075328 , version 1 (21-10-2014)

Identifiants

Citer

Jean-Francois Omhover, Maria Rifqi, Marcin Detyniecki. Ranking Invariance Based on Similarity Measures in Document Retrieval. AMR 2005 - Third International Workshop on Adaptive Multimedia Retrieval, Jul 2005, Glasgow, United Kingdom. pp.55 - 64, ⟨10.1007/11670834_5⟩. ⟨hal-01075328⟩
99 Consultations
46 Téléchargements

Altmetric

Partager

More