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» Learning consumer preferences using semantic similarity
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ICML
2006
IEEE
14 years 10 months ago
On Bayesian bounds
We show that several important Bayesian bounds studied in machine learning, both in the batch as well as the online setting, arise by an application of a simple compression lemma....
Arindam Banerjee
CICLING
2006
Springer
14 years 1 months ago
Automatic Acquisition of Semantic-Based Question Reformulations for Question Answering
Abstract. In this paper, we present a method for the automatic acquisition of semantic-based reformulations from natural language questions. Our goal is to find useful and generic ...
Jamileh Yousefi, Leila Kosseim
KDD
2005
ACM
218views Data Mining» more  KDD 2005»
14 years 10 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
14 years 10 months ago
Relational learning via latent social dimensions
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
Lei Tang, Huan Liu
ICETE
2004
210views Business» more  ICETE 2004»
13 years 11 months ago
Knowledge and Content-Based Audio Retrieval Using Wordnet
: Sound producers create the sound that goes along the image in cinema and video productions, as well as spots and documentaries. Some sounds are recorded for the occasion. Many oc...
Pedro Cano, Markus Koppenberger, Sylvain Le Groux,...