Title :
Passage Retrieval Using Graph Vertices Comparison
Author :
Dkaki, Taoufiq ; Mothe, Josiane ; Truong, Quoc Dinh
Author_Institution :
Univ. de Toulouse, Toulouse
Abstract :
In this paper, we describe an Information retrieval Model based on graph comparison. It is inspired from previous work such as KleinbergpsilaHits and Blondel et al.psilas model. Unlike previous methods, our model considers different types of nodes: text nodes (elements to retrieve and query) and term nodes, so that the resulting graph is a bipartite graph. The results on passage retrieval task show that high precision is improved using this model.
Keywords :
information retrieval; bipartite graph; graph vertices; information retrieval model; passage retrieval; term nodes; text nodes; Bipartite graph; Context modeling; Feedback; Humans; Information retrieval; Internet; Lead; Libraries; SGML; XML; IR model; Information retrieval; graph based model; passage retrieval;
Conference_Titel :
Signal-Image Technologies and Internet-Based System, 2007. SITIS '07. Third International IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3122-9
DOI :
10.1109/SITIS.2007.82
