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» Adaptive relevance feedback in information retrieval
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FQAS
2009
Springer
137views Database» more  FQAS 2009»
15 years 2 months ago
Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System
Relevance Feedback (RF) is a technique allowing to enrich an initial query according to the user feedback in order to get results closer to the user’s information need. This pape...
Luis M. de Campos, Juan M. Fernández-Luna, ...
CLEF
2000
Springer
15 years 1 months ago
Translation Resources, Merging Strategies, and Relevance Feedback for Cross-Language Information Retrieval
This paper describes the official runs of the Twenty-One group for the first CLEF workshop. The Twenty-One group participated in the monolingual, bilingual and multilingual tasks....
Djoerd Hiemstra, Wessel Kraaij, Renée Pohlm...
CIARP
2004
Springer
15 years 3 months ago
Advanced Relevance Feedback Query Expansion Strategy for Information Retrieval in MEDLINE
MEDLINE is a very large database of abstracts of research papers in medical domain, maintained by the National Library of Medicine. Documents in MEDLINE are supplied with manually ...
Kwangcheol Shin, Sang-Yong Han, Alexander F. Gelbu...
ICTIR
2009
Springer
15 years 4 months ago
A Four-Factor User Interaction Model for Content-Based Image Retrieval
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St...