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» Learning effective ranking functions for newsgroup search
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SIGIR
2008
ACM
13 years 6 months ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
14 years 3 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
12 years 1 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...
ICDE
2009
IEEE
194views Database» more  ICDE 2009»
14 years 8 months ago
Effective XML Keyword Search with Relevance Oriented Ranking
Abstract-- Inspired by the great success of information retrieval (IR) style keyword search on the web, keyword search on XML has emerged recently. The difference between text data...
Zhifeng Bao, Tok Wang Ling, Bo Chen, Jiaheng Lu
SIGIR
2008
ACM
13 years 6 months ago
Learning to rank at query-time using association rules
Some applications have to present their results in the form of ranked lists. This is the case of many information retrieval applications, in which documents must be sorted accordi...
Adriano Veloso, Humberto Mossri de Almeida, Marcos...