Product Recommendation Agents for Cyber Shopping Consumers
ISBN
978-1-4666-0315-8
Type
book section
Date Issued
2012
Author(s)
Editor(s)
Zheng, Yan
Abstract
With cyber shopping, consumers face a massive amount of product information before an educated purchase decision can be made. Identifying relevant products is therefore laborious for consumers, in particular when they look for non-commodity products such as consumer electronics. Product Recommendation Agents (PRAs) help consumers in finding relevant products efficiently. PRAs recommend a set of products either explicitly according to product attributes preferred by the consumer or implicitly based on consumers' interests and activities. PRAs retrieve hereby product information from various sources such as a retailer's product database or a third-party's review database. This entry introduces and discusses PRAs for cyber shopping consumers from five perspectives: (1) Purchase decision-making, (2) natural language interaction, (3) dynamic pricing, (4) product reviews, and finally, (5) product recommendation infrastructures. Future research directions on PRAs for cyber shopping conclude this entry.
Language
English
Keywords
mobile recommendation agents
decision support
smart products
product recommendations
cyber shopping
consumer behavior
HSG Classification
contribution to practical use / society
Refereed
No
Book title
Encyclopedia of Cyber Behavior
Publisher
Information Science Reference
Publisher place
Hershey, PA, USA
Start page
586
End page
599
Pages
14
Subject(s)
Division(s)
Eprints ID
210055
File(s)![Thumbnail Image]()
Name
Product Recommendation Agents for Cyber Shopping Consumers.pdf
Size
279.73 KB
Format
Adobe PDF
Checksum (MD5)
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