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WSDM
2010
ACM
160views Data Mining» more  WSDM 2010»
14 years 2 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
CISIS
2010
IEEE
13 years 10 months ago
iweightings: Enhancing Structure-based Ontology Alignment by Enriching Models with Importance Weighting
—Structural ontology matching methods analyze mainly two factors: entity labels and relationships among entities. We propose to additionally consider an importance and relevance ...
Alexandra Mazak, Bernhard Schandl, Monika Lanzenbe...
SIGIR
2011
ACM
12 years 7 months ago
Parameterized concept weighting in verbose queries
The majority of the current information retrieval models weight the query concepts (e.g., terms or phrases) in an unsupervised manner, based solely on the collection statistics. I...
Michael Bendersky, Donald Metzler, W. Bruce Croft
ICCSA
2007
Springer
13 years 11 months ago
On Optimization of the Importance Weighted OWA Aggregation of Multiple Criteria
The problem of aggregating multiple numerical criteria to form overall objective functions is of considerable importance in many disciplines. The ordered weighted averaging (OWA) a...
Wlodzimierz Ogryczak, Tomasz Sliwinski
TCSV
2011
12 years 11 months ago
Concept-Driven Multi-Modality Fusion for Video Search
—As it is true for human perception that we gather information from different sources in natural and multi-modality forms, learning from multi-modalities has become an effective ...
Xiao-Yong Wei, Yu-Gang Jiang, Chong-Wah Ngo