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SIGIR
2006
ACM
14 years 1 months 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
BMCBI
2007
146views more  BMCBI 2007»
13 years 7 months ago
PubMed related articles: a probabilistic topic-based model for content similarity
Background: We present a probabilistic topic-based model for content similarity called pmra that underlies the related article search feature in PubMed. Whether or not a document ...
Jimmy J. Lin, W. John Wilbur
TKDE
2010
224views more  TKDE 2010»
13 years 6 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
ISMIR
2005
Springer
142views Music» more  ISMIR 2005»
14 years 1 months ago
A Probabilistic Model for Chord Progressions
Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in...
Jean-François Paiement, Douglas Eck, Samy B...