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KDD
2012
ACM
179views Data Mining» more  KDD 2012»
11 years 10 months ago
Transparent user models for personalization
Personalization is a ubiquitous phenomenon in our daily online experience. While such technology is critical for helping us combat the overload of information we face, in many cas...
Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jur...
AMKM
2003
Springer
14 years 21 days ago
Discovering, Visualizing, and Sharing Knowledge through Personalized Learning Knowledge Maps
This paper presents an agent-based approach to semantic exploration and knowledge discovery in large information spaces by means of capturing, visualizing and making usable implic...
Jasminko Novak, Michael Wurst, Monika Fleischmann,...
GROUP
2010
ACM
13 years 5 months ago
Towards a group recommender process model for ad-hoc groups and on-demand recommendations
Movie recommender systems simplify the movie selection by providing movie suggestions based on the respective user's personal taste. Most of the current systems address indiv...
Christoph Beckmann, Tom Gross
ECTEL
2010
Springer
13 years 4 months ago
GVIS: A Facility for Adaptively Mashing Up and Representing Open Learner Models
In this article we present an infrastructure for creating mash up and visual representations of the user profile that combine data from different sources. We explored this approach...
Luca Mazzola, Riccardo Mazza
JCP
2007
121views more  JCP 2007»
13 years 7 months ago
p-Trust: A New Model of Trust to Allow Finer Control Over Privacy in Peer-to-Peer Framework
— Every time a user conducts an electronic transaction over the Internet a wealth of personal information is revealed, either voluntarily or involuntarily. This causes serious br...
Sudip Chakraborty, Indrajit Ray