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» Information Retrieval with Cluster Genetic
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DBISP2P
2008
Springer
124views Database» more  DBISP2P 2008»
13 years 10 months ago
Exploiting Distribution Skew for Scalable P2P Text Clustering
K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
Odysseas Papapetrou, Wolf Siberski, Fabian Leitrit...
NIPS
1997
13 years 9 months ago
Active Data Clustering
Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and...
Thomas Hofmann, Joachim M. Buhmann
PRL
2008
143views more  PRL 2008»
13 years 7 months ago
An active feedback framework for image retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to prov...
Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang...
ACL
2006
13 years 9 months ago
Answer Extraction, Semantic Clustering, and Extractive Summarization for Clinical Question Answering
This paper presents a hybrid approach to question answering in the clinical domain that combines techniques from summarization and information retrieval. We tackle a frequently-oc...
Dina Demner-Fushman, Jimmy J. Lin
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
12 years 3 months ago
Sequence clustering and labeling for unsupervised query intent discovery
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...
Jackie Chi Kit Cheung, Xiao Li