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» Centering Information Retrieval to the User
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CW
2005
IEEE
16 years 6 days ago
ComRank: Metasearch and Automatic Ranking of XML Retrieval System
Different information retrieval (IR) systems often return very diverse results lists for the same query. This is problematic for users since no one IR system works best for every ...
Alan Woodley, Shlomo Geva
PRL
2008
143views more  PRL 2008»
15 years 6 months ago
An active feedback framework for image retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to prov...
Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang...
ICDAR
2011
IEEE
14 years 6 months ago
Towards Searchable Digital Urdu Libraries - A Word Spotting Based Retrieval Approach
—Libraries in South Asia hold huge collections of valuable printed documents in Urdu and it is of interest to digitize these collections to make them more accessible. The unavail...
Ali Abidi, Imran Siddiqi, Khurram Khurshid
MIR
2010
ACM
232views Multimedia» more  MIR 2010»
16 years 1 months ago
Exploiting external knowledge to improve video retrieval
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
David Vallet, Iván Cantador, Joemon M. Jose
ECAI
2000
Springer
15 years 11 months ago
Similarity-based Approach to Relevance Learning
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
Rickard Cöster, Lars Asker