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» Modeling Documents as Mixtures of Persons for Expert Finding
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UM
2005
Springer
15 years 3 months ago
ExpertiseNet: Relational and Evolutionary Expert Modeling
We develop a novel user-centric modeling technology, which can dynamically describe and update a person's expertise profile. In an enterprise environment, the technology can e...
Xiaodan Song, Belle L. Tseng, Ching-Yung Lin, Ming...
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 3 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
KDD
2007
ACM
122views Data Mining» more  KDD 2007»
15 years 10 months ago
Expertise modeling for matching papers with reviewers
An essential part of an expert-finding task, such as matching reviewers to submitted papers, is the ability to model the expertise of a person based on documents. We evaluate seve...
David M. Mimno, Andrew McCallum
TREC
2008
14 years 11 months ago
Research on Enterprise Track of TREC 2008
This is the third year that we (ICT-CAS team) participated in the Enterprise Track of TREC. The track of this year includes two tasks, being document search task and expert search...
Huawei Shen, Lei Wang, Wenjing Bi, Yue Liu, Xueqi ...
NN
2002
Springer
136views Neural Networks» more  NN 2002»
14 years 9 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani