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» Learning to rank for information retrieval
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CIVR
2003
Springer
111views Image Analysis» more  CIVR 2003»
14 years 29 days ago
Majority Based Ranking Approach in Web Image Retrieval
In this paper, we address a ranking problem in web image retrieval. Due to the growing availability of web images, comprehensive retrieval of web images has been expected. Conventi...
Gunhan Park, Yunju Baek, Heung-Kyu Lee
CIKM
2001
Springer
14 years 7 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
SIGIR
2009
ACM
14 years 2 months ago
Reducing long queries using query quality predictors
Long queries frequently contain many extraneous terms that hinder retrieval of relevant documents. We present techniques to reduce long queries to more effective shorter ones tha...
Giridhar Kumaran, Vitor R. Carvalho
MIR
2006
ACM
200views Multimedia» more  MIR 2006»
14 years 1 months ago
An adaptive graph model for automatic image annotation
Automatic keyword annotation is a promising solution to enable more effective image search by using keywords. In this paper, we propose a novel automatic image annotation method b...
Jing Liu, Mingjing Li, Wei-Ying Ma, Qingshan Liu, ...
KDD
2009
ACM
184views Data Mining» more  KDD 2009»
14 years 2 months ago
Thumbs-Up: a game for playing to rank search results
Human computation is an effective way to channel human effort spent playing games to solving computational problems that are easy for humans but difficult for computers to autom...
Ali Dasdan, Chris Drome, Santanu Kolay, Micah Alpe...