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» Benchmarking Data Mining Algorithms
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150
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WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
13 years 10 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...
145
Voted
WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
13 years 10 months ago
Correlating financial time series with micro-blogging activity
We study the problem of correlating micro-blogging activity with stock-market events, defined as changes in the price and traded volume of stocks. Specifically, we collect messa...
Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castill...
167
Voted
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
13 years 10 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
133
Voted
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
13 years 10 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
178
Voted
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 5 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich