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» Information Filtering Using the Dynamics of the User Profile
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ICMCS
2006
IEEE
123views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Template-Based Semi-Automatic Profiling of Multimedia Applications
Modern multimedia applications possess a very dynamic use of the memory hierarchy depending on the actual input, therefore requiring run-time profiling techniques to enable optim...
Christophe Poucet, David Atienza, Francky Catthoor
AAAI
2006
13 years 10 months ago
Inferring User's Preferences using Ontologies
We consider recommender systems that filter information and only show the most preferred items. Good recommendations can be provided only when an accurate model of the user's...
Vincent Schickel-Zuber, Boi Faltings
HT
2010
ACM
13 years 10 months ago
Connecting users and items with weighted tags for personalized item recommendations
1 Tags are an important information source in Web 2.0. They can be used to describe users’ topic preferences as well as the content of items to make personalized recommendations....
Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak, Xia...
CISS
2008
IEEE
14 years 3 months ago
A lower-bound on the number of rankings required in recommender systems using collaborativ filtering
— We consider the situation where users rank items from a given set, and each user ranks only a (small) subset of all items. We assume that users can be classified into C classe...
Peter Marbach
UAI
2003
13 years 10 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...