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» Relevance Feedback in XML Retrieval
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ICMCS
2006
IEEE
144views Multimedia» more  ICMCS 2006»
14 years 4 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...
CIKM
2008
Springer
14 years 25 days ago
Managing collaborative feedback information for distributed retrieval
Despite the many research efforts invested recently in peerto-peer search engines, none of the proposed system has reached the level of quality and efficiency of their centralized...
Pascal Felber, Toan Luu, Martin Rajman, Etienne Ri...
VLDB
2002
ACM
138views Database» more  VLDB 2002»
13 years 10 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
ECIR
2007
Springer
14 years 9 days ago
Feature- and Query-Based Table of Contents Generation for XML Documents
The availability of a document’s logical structure in XML retrieval allows retrieval systems to return document portions (elements) instead of whole documents. This helps searche...
Zoltán Szlávik, Anastasios Tombros, ...
CIKM
2007
Springer
14 years 5 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