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WSDM
2010
ACM
160views Data Mining» more  WSDM 2010»
14 years 7 months ago
Learning Concept Importance Using a Weighted Dependence Model
Modeling query concepts through term dependencies has been shown to have a significant positive effect on retrieval performance, especially for tasks such as web search, where rel...
Michael Bendersky, Donald Metzler, W. Bruce Croft
WSDM
2009
ACM
104views Data Mining» more  WSDM 2009»
14 years 4 months ago
Top-k aggregation using intersections of ranked inputs
There has been considerable past work on efficiently computing top k objects by aggregating information from multiple ranked lists of these objects. An important instance of this...
Ravi Kumar, Kunal Punera, Torsten Suel, Sergei Vas...
WSDM
2009
ACM
115views Data Mining» more  WSDM 2009»
14 years 4 months ago
Discovering and using groups to improve personalized search
Personalized Web search takes advantage of information about an individual to identify the most relevant results for that person. A challenge for personalization lies in collectin...
Jaime Teevan, Meredith Ringel Morris, Steve Bush
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
14 years 4 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 11 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider