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» Learning user preferences for sets of objects
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IV
2010
IEEE
140views Visualization» more  IV 2010»
13 years 6 months ago
GVIS: An Integrating Infrastructure for Adaptively Mashing up User Data from Different Sources
In this article we present an infrastructure for creating mash up visual representations of the user profile that combines data from different sources. We explored this approach ...
Luca Mazzola, Riccardo Mazza
AMR
2005
Springer
117views Multimedia» more  AMR 2005»
14 years 1 months ago
Learning User Queries in Multimodal Dissimilarity Spaces
Abstract. Different strategies to learn user semantic queries from dissimilarity representations of video audio-visual content are presented. When dealing with large corpora of vi...
Eric Bruno, Nicolas Moënne-Loccoz, Sté...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 1 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
ICML
2004
IEEE
14 years 8 months ago
Unifying collaborative and content-based filtering
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
Justin Basilico, Thomas Hofmann
ADBIS
2010
Springer
140views Database» more  ADBIS 2010»
13 years 7 months ago
Estimation of the Maximum Domination Value in Multi-dimensional Data Sets
Abstract. The last years there is an increasing interest for query processing techniques that take into consideration the dominance relationship between objects to select the most ...
Eleftherios Tiakas, Apostolos N. Papadopoulos, Yan...