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» Interactive Object-Based Retrieval Using Relevance Feedback
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MIR
2010
ACM
264views Multimedia» more  MIR 2010»
14 years 2 months ago
Quest for relevant tags using local interaction networks and visual content
Typical tag recommendation systems for photos shared on social networks such as Flickr, use visual content analysis, collaborative filtering or personalization strategies to prod...
Neela Sawant, Ritendra Datta, Jia Li, James Ze Wan...
IPM
2006
81views more  IPM 2006»
13 years 8 months ago
An implicit feedback approach for interactive information retrieval
Searchers can face problems finding the information they seek. One reason for this is that they may have difficulty devising queries to express their information needs. In this ar...
Ryen W. White, Joemon M. Jose, Ian Ruthven
ICMCS
2006
IEEE
144views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Using Implicit Relevane Feedback to Advance Web Image Search
Although relevance feedback has been extensively studied in content-based image retrieval in the academic area, no commercial web image search engine has employed the idea. There ...
En Cheng, Feng Jing, Mingjing Li, Wei-Ying Ma, Hai...
VLDB
2002
ACM
138views Database» more  VLDB 2002»
13 years 7 months ago
Adaptable Similarity Search using Non-Relevant Information
Many modern database applications require content-based similarity search capability in numeric attribute space. Further, users' notion of similarity varies between search se...
T. V. Ashwin, Rahul Gupta, Sugata Ghosal
CIKM
2007
Springer
14 years 2 months ago
Query expansion using probabilistic local feedback with application to multimedia retrieval
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
Rong Yan, Alexander G. Hauptmann