DocumentCode :
230
Title :
A Technology that Comes Highly Recommended
Author :
Leavitt, Neal
Volume :
46
Issue :
3
fYear :
2013
fDate :
Mar-13
Firstpage :
14
Lastpage :
17
Abstract :
Today´s recommendation systems use new approaches that let companies more effectively suggest products and services to potential customers.
Keywords :
consumer products; customer services; recommender systems; customer products; customer services; technology recommendation systems; AI; Bayesian technology; algorithms; artificial intelligence; big data; data mining; e-commerce; expert-adaptive; personalization; personalized collaborative filtering; recommendation engines; recommender systems; rules-based systems; software;
fLanguage :
English
Journal_Title :
Computer
Publisher :
ieee
ISSN :
0018-9162
Type :
jour
DOI :
10.1109/MC.2013.80
Filename :
6489945
Link To Document :
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