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SIGECOM
2004
ACM
135views ECommerce» more  SIGECOM 2004»
14 years 2 months ago
Applying learning algorithms to preference elicitation
We consider the parallels between the preference elicitation problem in combinatorial auctions and the problem of learning an unknown function from learning theory. We show that l...
Sébastien Lahaie, David C. Parkes
ICASSP
2011
IEEE
13 years 8 days ago
Sparse coding of auditory features for machine hearing in interference
A key problem in using the output of an auditory model as the input to a machine-learning system in a machine-hearing application is to find a good feature-extraction layer. For ...
Richard F. Lyon, Jay Ponte, Gal Chechik
DIAL
2004
IEEE
138views Image Analysis» more  DIAL 2004»
14 years 8 days ago
Retrieving Imaged Documents in Digital Libraries Based on Word Image Coding
A great number of documents are scanned and archived in the form of digital images in digital libraries, to make them available and accessible in the Internet. Information retriev...
Yue Lu, Li Zhang, Chew Lim Tan
ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
14 years 17 days ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
SEMCO
2007
IEEE
14 years 2 months ago
Sub-Symbolic Semantic Layer in Cyc for Intuitive Chat-Bots
The work presented in this paper aims to combine Latent Semantic Analysis methodology, common sense and traditional knowledge representation in order to improve the dialogue capab...
Giovanni Pilato, Agnese Augello, Giorgio Vassallo,...