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» Learning consumer preferences using semantic similarity
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CVPR
2005
IEEE
14 years 11 months ago
Learning a Similarity Metric Discriminatively, with Application to Face Verification
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
Sumit Chopra, Raia Hadsell, Yann LeCun
SIGECOM
2010
ACM
183views ECommerce» more  SIGECOM 2010»
14 years 2 months ago
Assessing regret-based preference elicitation with the UTPREF recommendation system
Product recommendation and decision support systems must generally develop a model of user preferences by querying or otherwise interacting with a user. Recent approaches to elici...
Darius Braziunas, Craig Boutilier
HT
2005
ACM
14 years 3 months ago
Distributed, real-time computation of community preferences
We describe the integration of smart digital objects with Hebbian learning to create a distributed, real-time, scalable approach to adapting to a community's preferences. We ...
Thomas Lutkenhouse, Michael L. Nelson, Johan Bolle...
COOPIS
2002
IEEE
14 years 2 months ago
A Defeasible Ontology Language
We extend the description logic ¢¤£¦¥¦§©¨ with a preference order on the axioms. With this strict partial order certain axioms can be overruled, if defeated with more ...
Stijn Heymans, Dirk Vermeir
FINTAL
2006
14 years 1 months ago
Paraphrase Identification on the Basis of Supervised Machine Learning Techniques
Abstract. This paper presents a machine learning approach for paraphrase identification which uses lexical and semantic similarity information. In the experimental studies, we exam...
Zornitsa Kozareva, Andrés Montoyo