Adaptive assistants for customized e-shopping

Filippo Menczer; W Street; Alvaro Monge

doi:10.1109/MIS.2002.1134357

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Adaptive assistants for customized e-shopping

Journal article

Peer reviewed

Adaptive assistants for customized e-shopping

Filippo Menczer, W Street and Alvaro Monge

IEEE intelligent systems, Vol.17(6), pp.12-19

11/01/2002

DOI: 10.1109/MIS.2002.1134357

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Abstract

Shopping bots are biased toward vendors who pay to be listed. To make user-centered business models viable, Menczer et al developed IntelligentShopper, which learns shoppers' individual preferences and autonomously monitors vendor sites for items matching these preferences while protecting their privacy.

Consumer behavior

Customization

Electronic commerce

Web sites

Details

Title: Subtitle: Adaptive assistants for customized e-shopping
Creators: Filippo Menczer - University of Iowa
W Street - University of Iowa
Alvaro Monge
Resource Type: Journal article
Publication Details: IEEE intelligent systems, Vol.17(6), pp.12-19
Publisher: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
DOI: 10.1109/MIS.2002.1134357
ISSN: 1541-1672
eISSN: 1941-1294
Language: English
Date published: 11/01/2002
Academic Unit: Bus Admin College; Nursing; Computer Science; Business Analytics
Record Identifier: 9984380395802771

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