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» Maximum Margin Ranking Algorithms for Information Retrieval
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WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
14 years 5 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
CIKM
2010
Springer
13 years 5 months ago
Probabilistic ranking for relational databases based on correlations
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...
Jaehui Park, Sang-goo Lee
SIGIR
2011
ACM
12 years 10 months ago
The interactive PRP for diversifying document rankings
The assumptions underlying the Probability Ranking Principle (PRP) have led to a number of alternative approaches that cater or compensate for the PRP’s limitations. In this pos...
Guido Zuccon, Leif Azzopardi, C. J. van Rijsbergen
HT
2010
ACM
14 years 21 days ago
Community-based ranking of the social web
The rise of social interactions on the Web requires developing new methods of information organization and discovery. To that end, we propose a generative community-based probabil...
Said Kashoob, James Caverlee, Krishna Kamath
ESWS
2005
Springer
14 years 1 months ago
An Ontology-Based Information Retrieval Model
Semantic search has been one of the motivations of the Semantic Web since it was envisioned. We propose a model for the exploitation of ontologybased KBs to improve search over lar...
David Vallet, Miriam Fernández, Pablo Caste...