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ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
14 years 22 days 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
SIGIR
2012
ACM
11 years 10 months ago
Predicting quality flaws in user-generated content: the case of wikipedia
The detection and improvement of low-quality information is a key concern in Web applications that are based on user-generated content; a popular example is the online encyclopedi...
Maik Anderka, Benno Stein, Nedim Lipka
SAC
2009
ACM
14 years 2 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
WWW
2008
ACM
14 years 8 months ago
Online learning from click data for sponsored search
Sponsored search is one of the enabling technologies for today's Web search engines. It corresponds to matching and showing ads related to the user query on the search engine...
Massimiliano Ciaramita, Vanessa Murdock, Vassilis ...
IJON
2006
76views more  IJON 2006»
13 years 7 months ago
Joint maps for orientation, eye, and direction preference in a self-organizing model of V1
Primary visual cortex (V1) contains overlaid feature maps for orientation (OR), motion direction selectivity (DR), and ocular dominance (OD). Neurons in these maps are connected l...
James A. Bednar, Risto Miikkulainen