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» On bootstrapping recommender systems
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ICDCSW
2003
IEEE
15 years 11 months ago
Revealing the Retail Black Box by Interaction Sensing
Today a huge variety of methods to track and analyze the customers’ behavior in e-commerce systems is available. However, in traditional retail stores such systems are not widel...
Christian Decker, Uwe Kubach, Michael Beigl
AGENTS
1998
Springer
15 years 10 months ago
Pitfalls of Agent-Oriented Development
While the theoretical and experimental foundations of agent-based systems are becoming increasingly well understood, comparatively little effort has been devoted to understanding ...
Michael Wooldridge, Nicholas R. Jennings
HICSS
2010
IEEE
187views Biometrics» more  HICSS 2010»
15 years 7 months ago
Navigation Support for Mobile Learning
Mobile learning exposes learning to the natural environment. If this environment is large, the learners have to navigate to find the learning objects or to explore the environment...
Christoph Göth, Gerhard Schwabe
ECIR
2009
Springer
16 years 3 months ago
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
Pinar Donmez, Jaime G. Carbonell
ICC
2008
IEEE
134views Communications» more  ICC 2008»
16 years 1 months ago
Secret Little Functions and Codebook for Protecting Users from Password Theft
—In this paper, we discuss how to prevent users’ passwords from being stolen by adversaries. We propose differentiated security mechanisms in which a user has the freedom to ch...
Yang Xiao, Chung-Chih Li, Ming Lei, Susan V. Vrbsk...