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» Bayesian network based sentence retrieval model
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ECIR
2007
Springer
13 years 9 months ago
A Bayesian Approach for Learning Document Type Relevance
Retrieval accuracy can be improved by considering which document type should be filtered out and which should be ranked higher in the result list. Hence, document type can be used...
Peter C. K. Yeung, Stefan Büttcher, Charles L...
UIC
2009
Springer
14 years 2 months ago
Mining and Visualizing Mobile Social Network Based on Bayesian Probabilistic Model
Social networking has provided powerful new ways to find people, organize groups, and share information. Recently, the potential functionalities of the ubiquitous infrastructure le...
Jun-Ki Min, Su-Hyung Jang, Sung-Bae Cho
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
12 years 3 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
SIGIR
2010
ACM
13 years 11 months ago
Hierarchical pitman-yor language model for information retrieval
In this paper, we propose a new application of Bayesian language model based on Pitman-Yor process for information retrieval. This model is a generalization of the Dirichlet distr...
Saeedeh Momtazi, Dietrich Klakow
SIGIR
2010
ACM
13 years 11 months ago
Where to start filtering redundancy?: a cluster-based approach
Novelty detection is a difficult task, particularly at sentence level. Most of the approaches proposed in the past consist of re-ordering all sentences following their novelty sco...
Ronald T. Fernández, Javier Parapar, David ...