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» Learning to Distribute Queries into Web Search Nodes
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137
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CIKM
2009
Springer
15 years 7 months ago
Exploring relevance for clicks
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
Rongwei Cen, Yiqun Liu, Min Zhang, Bo Zhou, Liyun ...
121
Voted
ICWN
2008
15 years 2 months ago
Progressive Content-Sensitive Data Retrieval in Sensor Networks
: Problem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data)...
Bo Yang, Mareboyana Manohar, Shaoying Kou
116
Voted
WSDM
2009
ACM
140views Data Mining» more  WSDM 2009»
15 years 7 months ago
Effective latent space graph-based re-ranking model with global consistency
Recently the re-ranking algorithms have been quite popular for web search and data mining. However, one of the issues is that those algorithms treat the content and link informati...
Hongbo Deng, Michael R. Lyu, Irwin King
84
Voted
ICPADS
2007
IEEE
15 years 7 months ago
A semantic overlay network for unstructured peer-to-peer protocols
Peer-to-Peer computing has become a popular networking paradigm for file sharing, distributed computing, collaborative working, etc. The widely used unstructured Peer-to-Peer pro...
Junfeng Xie, Zhenhua Li, Guihai Chen
119
Voted
MM
2006
ACM
164views Multimedia» more  MM 2006»
15 years 6 months ago
Scalable relevance feedback using click-through data for web image retrieval
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
En Cheng, Feng Jing, Lei Zhang, Hai Jin