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» Relevance and Reinforcement in Interactive Browsing
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CIVR
2010
Springer
299views Image Analysis» more  CIVR 2010»
13 years 10 months ago
Co-reranking by mutual reinforcement for image search
Most existing reranking approaches to image search focus solely on mining "visual" cues within the initial search results. However, the visual information cannot always ...
Ting Yao, Tao Mei, Chong-Wah Ngo
ANLP
1997
137views more  ANLP 1997»
13 years 9 months ago
An Intelligent Multilingual Information Browsing and Retrieval System Using Information Extraction
In this paper, we describe our multilingual (or cross-linguistic) information browsing and retrieval system, which is aimed at monolingual users who are interested in information ...
Chinatsu Aone, Nicholas Charocopos, James Gorlinsk...
ECIR
2003
Springer
13 years 9 months ago
A Hybrid Relevance-Feedback Approach to Text Retrieval
Abstract. Relevance feedback (RF) has been an effective query modification approach to improving the performance of information retrieval (IR) by interactively asking a user whet...
Zhao Xu, Xiaowei Xu, Kai Yu, Volker Tresp
SIGIR
2002
ACM
13 years 7 months ago
Detecting and Browsing Events in Unstructured text
Previews and overviews of large, heterogeneous information resources help users comprehend the scope of collections and focus on particular subsets of interest. For narrative docu...
David A. Smith
CIKM
2001
Springer
14 years 5 days ago
Evaluating Document Clustering for Interactive Information Retrieval
We consider the problem of organizing and browsing the top ranked portion of the documents returned by an information retrieval system. We study the effectiveness of a document o...
Anton Leuski