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» Ranking List Dispersion as a Query Performance Predictor
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AI
2008
Springer
14 years 2 months ago
A Frequency Mining-Based Algorithm for Re-ranking Web Search Engine Retrievals
Abstract. Conventional web search engines retrieve too many documents for the majority of the submitted queries; therefore, they possess a good recall, since there are far more pag...
M. Barouni-Ebrahimi, Ebrahim Bagheri, Ali A. Ghorb...
AINA
2007
IEEE
14 years 2 months ago
Mining Visual Knowledge for Multi-Lingual Image Retrieval
Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
Masashi Inoue
WWW
2011
ACM
13 years 2 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
MIR
2004
ACM
176views Multimedia» more  MIR 2004»
14 years 1 months ago
Analysing the performance of visual, concept and text features in content-based video retrieval
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance wi...
Mika Rautiainen, Timo Ojala, Tapio Seppänen
WSDM
2010
ACM
259views Data Mining» more  WSDM 2010»
14 years 5 months ago
Revisiting Globally Sorted Indexes for Efficient Document Retrieval
There has been a large amount of research on efficient document retrieval in both IR and web search areas. One important technique to improve retrieval efficiency is early termina...
Fan Zhang, Shuming Shi, Hao Yan, Ji-Rong Wen