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» Models in Information Retrieval
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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
14 years 2 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
WWW
2005
ACM
16 years 7 months ago
Hybrid semantic tagging for information extraction
The semantic web is expected to have an impact at least as big as that of the existing HTML based web, if not greater. However, the challenge lays in creating this semantic web an...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko, B...
CIVR
2010
Springer
299views Image Analysis» more  CIVR 2010»
15 years 9 months ago
Co-reranking by mutual reinforcement for image search
Most existing reranking approaches to image search focus solely on mining "visual" cues within the initial search results. However, the visual information cannot always ...
Ting Yao, Tao Mei, Chong-Wah Ngo
JCDL
2005
ACM
98views Education» more  JCDL 2005»
16 years 4 days ago
Using collection descriptions to enhance an aggregation of harvested item-level metadata
As an increasing number of digital library projects embrace the harvesting of item-level descriptive metadata, issues of description granularity and concerns about potential loss ...
Muriel Foulonneau, Timothy W. Cole, Thomas G. Habi...
WWW
2007
ACM
16 years 7 months ago
A kernel based structure matching for web services search
This paper describes a kernel based Web Services (abbreviated as service) matching mechanism for service discovery and integration. The matching mechanism tries to exploit the lat...
Yu Jianjun, Guo Shengmin, Su Hao, Zhang Hui, Xu Ke