DocumentCode :
950748
Title :
Adaptive assistants for customized E-shopping
Author :
Menczer, Filippo ; Street, W. Nick ; Monge, Alvaro E.
Author_Institution :
Univ. of Iowa, Ames, IA, USA
Volume :
17
Issue :
6
fYear :
2002
Firstpage :
12
Lastpage :
19
Abstract :
Shopping bots today are biased toward vendors who pay to be listed. To make user-centered business models viable, we developed IntelliShopper, which learns shoppers´ individual preferences and autonomously monitors vendor sites for items matching those preferences.
Keywords :
electronic commerce; software agents; IntelliShopper; agents; e-shopping; shopping bots; user-centered business models; vendor sites; Automatic control; Collaboration; Control systems; Costs; Feedback; Intelligent agent; Internet; Pricing; Privacy; Size control;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2002.1134357
Filename :
1134357
Link To Document :
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