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ICML
1998
IEEE
16 years 8 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
SAC
2005
ACM
16 years 27 days ago
A hierarchical naive Bayes mixture model for name disambiguation in author citations
Because of name variations, an author may have multiple names and multiple authors may share the same name. Such name ambiguity affects the performance of document retrieval, web ...
Hui Han, Wei Xu, Hongyuan Zha, C. Lee Giles
PCI
2001
Springer
15 years 11 months ago
A Knowledge Based Approach on Educational Metadata Use
One of the most rapidly evolving e-services is e-Learning, that is, the creation of advanced educational resources that are accessible on-line and, potentially, offer numerous adva...
Fotis Kokkoras, Demetrios G. Sampson, Ioannis P. V...
AAAI
2008
15 years 9 months ago
Semi-Supervised Ensemble Ranking
Ranking plays a central role in many Web search and information retrieval applications. Ensemble ranking, sometimes called meta-search, aims to improve the retrieval performance b...
Steven C. H. Hoi, Rong Jin
ICDE
2009
IEEE
160views Database» more  ICDE 2009»
16 years 9 months ago
MatchUp: Autocompletion for Mashups
A mashup is a Web application that integrates data, computation and GUI provided by several systems into a unique tool. The concept originated from the understanding that the numbe...
Serge Abiteboul, Ohad Greenshpan, Tova Milo, Neokl...