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» Comparing relevance feedback algorithms for web search
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SIGIR
2011
ACM
12 years 10 months ago
Active learning to maximize accuracy vs. effort in interactive information retrieval
We consider an interactive information retrieval task in which the user is interested in finding several to many relevant documents with minimal effort. Given an initial documen...
Aibo Tian, Matthew Lease
MIR
2005
ACM
137views Multimedia» more  MIR 2005»
14 years 1 months ago
Similarity space projection for web image search and annotation
Web image search has been explored and developed in academic as well as commercial areas for over a decade. To measure the similarity between Web images and user queries, most of ...
Ying Liu, Tao Qin, Tie-Yan Liu, Lei Zhang, Wei-Yin...
CIKM
2003
Springer
14 years 1 months ago
Tracking changes in user interests with a few relevance judgments
Keeping track of changes in user interests from a document stream with a few relevance judgments is not an easy task. To tackle this problem, we propose a novel method that integr...
Dwi H. Widyantoro, Thomas R. Ioerger, John Yen
SIGIR
2008
ACM
13 years 7 months ago
Predicting when browsing context is relevant to search
We investigate a representative case of sudden information need change of Web users. By analyzing search engine query logs, we show that the majority of queries submitted by users...
Mandar Rahurkar, Silviu Cucerzan
CIKM
2006
Springer
13 years 11 months ago
A probabilistic relevance propagation model for hypertext retrieval
A major challenge in developing models for hypertext retrieval is to effectively combine content information with the link structure available in hypertext collections. Although s...
Azadeh Shakery, ChengXiang Zhai