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Learning to cluster web search results:

, In: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval,

Zeng, Hua-Jun ; He, Qi-Cai ; Chen, Zheng.. - p. 210-217 , 2004

Link: https://dl.acm.org/doi/10.1145/1008992.1009030

RT 
T1 <cTitle>Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval</cTitle>: T1 <Title>Learning to cluster web search results</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-1009030&Exemplar=1&LAN=DE
				
A1 Zeng, Hua-Jun
A1 He, Qi-Cai
A1 Chen, Zheng
A1 Ma, Wei-Ying
A1 Ma, Jinwen
PB ACM
YR 2004
K1 document clustering
K1 regression analysis
K1 search result organization
K1 Information systems
K1 Information retrieval
K1 Information retrieval query processing
K1 Information systems applications
K1 Data mining
K1 Clustering
K1 Retrieval tasks and goals
K1 Clustering and classification
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Factorization methods
K1 Canonical correlation analysis
K1 Mathematics of computing
K1 Probability and statistics
K1 Statistical paradigms
K1 Regression analysis
K1 Retrieval models and ranking
SP 210
OP 217
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1008992.1009030
DO https://dl.acm.org/doi/10.1145/1008992.1009030
SF ELIB - SuUB Bremen

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