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Crossing the Rubicon for An Intelligent Advisor Razvan Andonie
 

Summary: Crossing the Rubicon for An Intelligent Advisor
Razvan Andonie
Computer Science Department
Central Washington University, Ellensburg, USA
andonie@cwu.edu
J. Edward Russo
Johnson Graduate School of Management
Cornell University, Ithaka, USA
jer9@cornell.edu
Rishi Dean
Sloan School of Management
Massachusetts Institute of Technology, USA
rdean@mit.edu
ABSTRACT
Recommender systems (RS) are being used by an increasing
number of e-commerce sites to help consumers find prod-
ucts to purchase. We define here the features that may char-
acterize an "intelligent" RS, based on behavioral science,
data mining, and computational intelligence concepts. We
present our conclusions from building the WiseUncle Inc.

  

Source: Andonie, Razvan - Department of Computer Science, Central Washington University

 

Collections: Computer Technologies and Information Sciences