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ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
13 years 5 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...
CE
2008
91views more  CE 2008»
13 years 7 months ago
Mining e-Learning domain concept map from academic articles
Recent researches have demonstrated the importance of concept map and its versatile applications especially in e-Learning. For example, while designing adaptive learning materials...
Nian-Shing Chen, Kinshuk, Chun-Wang Wei, Hong-Jhe ...
WWW
2009
ACM
14 years 2 months ago
Instance-based probabilistic reasoning in the semantic web
Most of the approaches for dealing with uncertainty in the Semantic Web rely on the principle that this uncertainty is already asserted. In this paper, we propose a new approach t...
Pedro Oliveira, Paulo Gomes
FIRSTMONDAY
2010
136views more  FIRSTMONDAY 2010»
13 years 4 months ago
Education and the social Web: Connective learning and the commercial imperative
In recent years, new socially-oriented Web technologies have been portrayed as placing the learner at the centre of networks of knowledge and expertise, potentially leading to new...
Norm Friesen
JAIR
1998
198views more  JAIR 1998»
13 years 7 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...