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» Ranking queries on uncertain data
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ICML
1998
IEEE
14 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...
ICDE
2009
IEEE
139views Database» more  ICDE 2009»
14 years 9 months ago
Ranking of Object Summaries
A previously proposed Keyword Search paradigm produces, as a query result, a ranked list of Object Summaries (OSs); each OS summarizes all data held in a relational database about ...
Georgios John Fakas, Zhi Cai
WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
14 years 5 months ago
Leveraging Temporal Dynamics of Document Content in Relevance Ranking
Many web documents are dynamic, with content changing in varying amounts at varying frequencies. However, current document search algorithms have a static view of the document con...
Jonathan L. Elsas, Susan T. Dumais
VLDB
2006
ACM
115views Database» more  VLDB 2006»
14 years 7 months ago
Integrating document and data retrieval based on XML
For querying structured and semistructured data, data retrieval and document retrieval are two valuable and complementary techniques that have not yet been fully integrated. In thi...
Jan-Marco Bremer, Michael Gertz
ICDE
2010
IEEE
243views Database» more  ICDE 2010»
14 years 7 months ago
Probabilistic Contextual Skylines
The skyline query returns the most interesting tuples according to a set of explicitly defined preferences among attribute values. This work relaxes this requirement, and allows us...
Anastasios Arvanitis, Dimitris Sacharidis, Timos K...