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ICDE
2010
IEEE
248views Database» more  ICDE 2010»
15 years 10 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 5 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 7 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
15 years 3 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
16 years 3 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 ...