Document Type
Article
Department or Administrative Unit
Computer Science
Publication Date
1-1-2007
Abstract
Recommender systems (RS) are being used by an increasing number of e-commerce sites to help consumers find the personally best products. We define here the criteria that a RS should satisfy, drawing on concepts from behavioral science, computational intelligence, and data mining. We present our conclusions from building the WiseUncle RS and give its general description. Rather than being an advisor for a particular application, WiseUncle is a generic RS, a platform for generating application-specific advisors.
Recommended Citation
ANDONIE, Razvan; RUSSO, J. Edward; DEAN, Rishi. Crossing the Rubicon: A Generic Intelligent Advisor. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 2, n. 1, p. 5-16, jan. 2007. ISSN 1841-9844. doi: https://doi.org/10.15837/ijccc.2007.1.2331.
Journal
International Journal of Computers, Communications & Control
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Rights
Copyright © 2006-2007 by CCC Publications
Comments
This article was originally published Open Access in International Journal of Computers, Communications & Control. The full-text article from the publisher can be found here.