The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Product Recommendation Agents for Cyber Shopping Consumers
|
Author(s): Tobias Kowatsch (Institute of Technology Management, University of St. Gallen, Switzerland)and Wolfgang Maass (Saarland University, Germany)
Copyright: 2012
Pages: 14
Source title:
Encyclopedia of Cyber Behavior
Source Author(s)/Editor(s): Zheng Yan (University at Albany - SUNY, USA)
DOI: 10.4018/978-1-4666-0315-8.ch050
Purchase
|
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.
Related Content
Tamara Leigh Wandel.
© 2023.
22 pages.
|
Berceste Gülçin Özdemir.
© 2023.
10 pages.
|
Shalini Ramdeo, Riann Singh.
© 2023.
16 pages.
|
Umut Çıvgın.
© 2023.
19 pages.
|
Kadriye Özyazıcı.
© 2023.
20 pages.
|
Desmond Onyemechi Okocha, Sienne Ozioma Okpor.
© 2023.
12 pages.
|
Nor Hazlina Hashim, Muhammad Emeer Nor Azhar, Marshina Juliza Mohd Hasim, Zaridah Abdullah.
© 2023.
16 pages.
|
|
|