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ICDE
2010
IEEE
248views Database» more  ICDE 2010»
15 years 6 months ago
MashRank: Towards uncertainty-aware and rank-aware mashups
Mashups are situational applications that build data flows to link the contents of multiple Web sources. Often times, ranking the results of a mashup is handled in a materializethe...
Mohamed A. Soliman, Mina Saleeb, Ihab F. Ilyas
SIGIR
2008
ACM
15 years 1 months ago
Learning to rank with partially-labeled data
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
Kevin Duh, Katrin Kirchhoff
ECIR
1998
Springer
15 years 3 months ago
Independence of Contributing Retrieval Strategies in Data Fusion for Effective Information Retrieval
: In information retrieval, data fusion is a technique for combining the outputs of more than one retrieval strategy which rank documents for retrieval. One of the observations oft...
Alan F. Smeaton
ACL
2009
14 years 11 months ago
Incorporating Information Status into Generation Ranking
We investigate the influence of information status (IS) on constituent order in German, and integrate our findings into a loglinear surface realisation ranking model. We show that...
Aoife Cahill, Arndt Riester
ECIR
2009
Springer
15 years 11 months ago
Risk-Aware Information Retrieval
Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar ...