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ECRA
2010
145views more  ECRA 2010»
13 years 8 months ago
Inferring preference correlations from social networks
Identifying consumer preferences is a key challenge in customizing electronic commerce sites to individual users. The increasing availability of online social networks provides on...
Tad Hogg
CORR
2011
Springer
200views Education» more  CORR 2011»
13 years 3 months ago
Using Feature Weights to Improve Performance of Neural Networks
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
Ridwan Al Iqbal
CIKM
2001
Springer
14 years 1 months ago
Exploiting A Controlled Vocabulary to Improve Collection Selection and Retrieval Effectiveness
Vocabulary incompatibilities arise when the terms used to index a document collection are largely unknown, or at least not well-known to the users who eventually search the collec...
James C. French, Allison L. Powell, Fredric C. Gey...
CIA
2006
Springer
14 years 10 days ago
Improving Example Selection for Agents Teaching Ontology Concepts
Abstract. We present a method to improve the positive examples selection by teaching agents in a multi-agent system in which a team of agent peers teach concepts to a learning agen...
Mohsen Afsharchi, Behrouz H. Far
AI
2011
Springer
13 years 3 months ago
Contracting preference relations for database applications
The binary relation framework has been shown to be applicable to many real-life preference handling scenarios. Here we study preference contraction: the problem of discarding sele...
Denis Mindolin, Jan Chomicki