Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
Re-ranking model based on document clusters
Autore:
Lee, KS; Park, YC; Choi, KS;
Indirizzi:
Korea Adv Inst Sci & Technol, KORTERM, Dept Elect Engn & Comp Sci, Div Comp Sci, Taejon 305701, South Korea Korea Adv Inst Sci & Technol Taejon South Korea 305701 5701, South Korea
Titolo Testata:
INFORMATION PROCESSING & MANAGEMENT
fascicolo: 1, volume: 37, anno: 2001,
pagine: 1 - 14
SICI:
0306-4573(200101)37:1<1:RMBODC>2.0.ZU;2-5
Fonte:
ISI
Lingua:
ENG
Keywords:
document re-ranking; inverted-file method; cluster analysis; dynamic cluster view; combining evidence;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Engineering, Computing & Technology
Citazioni:
17
Recensione:
Indirizzi per estratti:
Indirizzo: Lee, KS Korea Adv Inst Sci & Technol, KORTERM, Dept Elect Engn & Comp Sci,Div Comp Sci, 373-1 Kusung Yusong, Taejon 305701, South Korea Korea Adv Inst Sci & Technol 373-1 Kusung Yusong Taejon South Korea 305701
Citazione:
K.S. Lee et al., "Re-ranking model based on document clusters", INF PR MAN, 37(1), 2001, pp. 1-14

Abstract

In this paper, we describe a model of information retrieval system that isbased on a document re-ranking method using document clusters. In the first step, we retrieve documents based on the inverted-file method. Next, we analyze the retrieved documents using document clusters, and re-rank them. In this step, we use static clusters and dynamic cluster view. Consequently,we can produce clusters that are tailored to characteristics of the query. We focus on the merits of the inverted-file method and cluster analysis. In other words, we retrieve documents based on the inverted-file method and analyze all terms in document based on the cluster analysis. By these two steps, we can get the retrieved results which are made by the consideration of the context of all terms in a document as well as query terms. We will show that our method achieves significant improvements over the method basedon similarity search ranking alone, (C) 2000 Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 19/01/20 alle ore 01:19:00