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CIKM
2008
Springer
13 years 9 months ago
A latent variable model for query expansion using the hidden markov model
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
Qiang Huang, Dawei Song
JCDL
2010
ACM
259views Education» more  JCDL 2010»
14 years 23 days ago
Exploiting time-based synonyms in searching document archives
Query expansion of named entities can be employed in order to increase the retrieval effectiveness. A peculiarity of named entities compared to other vocabulary terms is that they...
Nattiya Kanhabua, Kjetil Nørvåg
KDD
2000
ACM
140views Data Mining» more  KDD 2000»
13 years 11 months ago
Effective Retrieval of Audio Information from Annotated Text Using Ontologies
To improve the accuracy in terms of precision and recall of an audio information retrieval system we have created a domainspecific ontology (a collection of key concepts and their...
Latifur Khan, Dennis McLeod
SIGIR
2012
ACM
11 years 10 months ago
Automatic term mismatch diagnosis for selective query expansion
People are seldom aware that their search queries frequently mismatch a majority of the relevant documents. This may not be a big problem for topics with a large and diverse set o...
Le Zhao, Jamie Callan
CIKM
2007
Springer
14 years 1 months ago
Query expansion using probabilistic local feedback with application to multimedia retrieval
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
Rong Yan, Alexander G. Hauptmann