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ICDE
2006
IEEE
150views Database» more  ICDE 2006»
15 years 10 months ago
Efficient Aggregation of Ranked Inputs
A top-k query combines different rankings of the same set of objects and returns the k objects with the highest combined score according to an aggregate function. We bring to ligh...
Nikos Mamoulis, Kit Hung Cheng, Man Lung Yiu, Davi...
SEMWEB
2010
Springer
14 years 7 months ago
Combining Approximation and Relaxation in Semantic Web Path Queries
We develop query relaxation techniques for regular path queries and combine them with query approximation in order to support flexible querying of RDF data when the user lacks know...
Alexandra Poulovassilis, Peter T. Wood
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
13 years 5 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...
CORR
2010
Springer
93views Education» more  CORR 2010»
14 years 9 months ago
Rank Awareness in Joint Sparse Recovery
In this paper we revisit the sparse multiple measurement vector (MMV) problem, where the aim is to recover a set of jointly sparse multichannel vectors from incomplete measurement...
Mike E. Davies, Yonina C. Eldar
SIGECOM
2010
ACM
183views ECommerce» more  SIGECOM 2010»
15 years 2 months ago
The unavailable candidate model: a decision-theoretic view of social choice
One of the fundamental problems in the theory of social choice is aggregating the rankings of a set of agents (or voters) into a consensus ranking. Rank aggregation has found appl...
Tyler Lu, Craig Boutilier