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SIGIR
2006
ACM
16 years 7 days ago
Regularized estimation of mixture models for robust pseudo-relevance feedback
Pseudo-relevance feedback has proven to be an effective strategy for improving retrieval accuracy in all retrieval models. However the performance of existing pseudo feedback meth...
Tao Tao, ChengXiang Zhai
DASFAA
2007
IEEE
148views Database» more  DASFAA 2007»
15 years 10 months ago
Schema Mapping in P2P Networks Based on Classification and Probing
In this paper, we address the problems of adaptive schema mappings between different peers in peer-to-peer network and searching for interesting data residing at different peers ba...
Guoliang Li, Beng Chin Ooi, Bei Yu, Lizhu Zhou
WSDM
2009
ACM
125views Data Mining» more  WSDM 2009»
16 years 1 months ago
Less is more: sampling the neighborhood graph makes SALSA better and faster
In this paper, we attempt to improve the effectiveness and the efficiency of query-dependent link-based ranking algorithms such as HITS, MAX and SALSA. All these ranking algorith...
Marc Najork, Sreenivas Gollapudi, Rina Panigrahy
OTM
2005
Springer
15 years 11 months ago
Biomedical Retrieval: How Can a Thesaurus Help?
Abstract. Searching specialized collections, such as biomedical literature, typically requires intimate knowledge of a specialized terminology. Hence, it can be a disappointing exp...
Leonie IJzereef, Jaap Kamps, Maarten de Rijke
SIGIR
2012
ACM
13 years 8 months ago
Robust ranking models via risk-sensitive optimization
Many techniques for improving search result quality have been proposed. Typically, these techniques increase average effectiveness by devising advanced ranking features and/or by...
Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompso...