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» Relevance Feedback in XML Retrieval
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 9 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
ETRA
2010
ACM
197views Biometrics» more  ETRA 2010»
14 years 3 months ago
Image ranking with implicit feedback from eye movements
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
David R. Hardoon, Kitsuchart Pasupa
WEBDB
2004
Springer
170views Database» more  WEBDB 2004»
14 years 2 months ago
Content and Structure in Indexing and Ranking XML
Rooted in electronic publishing, XML is now widely used for modelling and storing structured text documents. Especially in the WWW, retrieval of XML documents is most useful in co...
Felix Weigel, Holger Meuss, Klaus U. Schulz, Fran&...
CIVR
2006
Springer
141views Image Analysis» more  CIVR 2006»
14 years 19 days ago
Context-Aware Media Retrieval
In this paper we propose a representation framework for dynamic multi-sensory knowledge and user context, and its application in media retrieval. We provide a definition of context...
Ankur Mani, Hari Sundaram
CIVR
2008
Springer
152views Image Analysis» more  CIVR 2008»
13 years 10 months ago
FISH: a practical system for fast interactive image search in huge databases
The problem of search and retrieval of images using relevance feedback has attracted tremendous attention in recent years from the research community. A real-world-deployable inte...
Pradhee Tandon, Piyush Nigam, Vikram Pudi, C. V. J...