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» Learning to rank for information retrieval (LR4IR 2008)
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CVPR
2008
IEEE
16 years 8 months ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....
ECIR
2008
Springer
15 years 7 months ago
Enhancing Relevance Models with Adaptive Passage Retrieval
Passage retrieval and pseudo relevance feedback/query expansion have been reported as two effective means for improving document retrieval in literature. Relevance models, while im...
Xiaoyan Li, Zhigang Zhu
WWW
2003
ACM
16 years 6 months ago
Searching the workplace web
The social impact from the World Wide Web cannot be underestimated, but technologies used to build the Web are also revolutionizing the sharing of business and government informat...
Ronald Fagin, Ravi Kumar, Kevin S. McCurley, Jasmi...
CIKM
2008
Springer
15 years 8 months ago
Using English information in non-English web search
The leading web search engines have spent a decade building highly specialized ranking functions for English web pages. One of the reasons these ranking functions are effective is...
Wei Gao, John Blitzer, Ming Zhou
TREC
2007
15 years 7 months ago
UIC at TREC 2007 Blog Track
In TREC 2007 Blog Track, we developed a three-step algorithm for the opinion retrieval task. An information retrieval step retrieves the query-relevant documents. A following opin...
Wei Zhang, Clement T. Yu