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» A Multi Agent Approach to Interest Profiling of Users
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KDD
2005
ACM
218views Data Mining» more  KDD 2005»
15 years 9 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
IUI
2005
ACM
15 years 3 months ago
Improving proactive information systems
Proactive contextual information systems help people locate information by automatically suggesting potentially relevant resources based on their current tasks or interests. Such ...
Daniel Billsus, David M. Hilbert, Dan Maynes-Aminz...
ATAL
2006
Springer
15 years 1 months ago
Efficient agent-based cluster ensembles
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
Adrian K. Agogino, Kagan Tumer
AGENTS
1997
Springer
15 years 1 months ago
An Adaptive Web Page Recommendation Service
An adaptive recommendation service seeks to adapt to its users, providing increasingly personalized recommendations over time. In this paper we introduce the \Fab" adaptive W...
Marko Balabanovic
SIGITE
2004
ACM
15 years 2 months ago
The use of MUPPETS in an introductory java programming course
“The Multi-User Programming Pedagogy for Enhancing Traditional Study” (MUPPETS) system has been under development at RIT for the last three years. This multi-user environment ...
Kevin J. Bierre, Andrew M. Phelps