DocumentCode :
2042536
Title :
Recommender system in ubiquitous commerce
Author :
Manvi, S.S. ; Nalini, N. ; Bhajantri, Lokesh B.
Author_Institution :
Dept. of Electron. & Commun. Eng., REVA Inst. of Technol. & Managaement, Bangalore, India
Volume :
4
fYear :
2011
fDate :
8-10 April 2011
Firstpage :
434
Lastpage :
438
Abstract :
Commerce is a rapidly emerging application area of ubiquitous computing. Electronic commerce (e-commerce), mobile commerce (m-commerce) and ubiquitous commerce (u-commerce) are based not only on developments pertaining to the Internet compound, but also on prior technological and organizational innovations arising from the combination of telecommunications and organizational computing. A ubiquitous commerce is a service requested according to the customer´s personal profile, which typically include individual preferences, keeping the technical constraints of mobile device in use and the context of operating environment using recommender system. In ubiquitous environment, a recommender system is an important key role that is used to provide suitable recommendation solutions to the customers. Recommender system addresses a variety of ubiquitous commerce needs. In ubiquitous commerce, contextual information must be incorporated into the recommendation process for offering quicker and relevant services. This paper attempts to present basic concepts like methods of recommender system, issues and challenges of recommender system in u-commerce, context aware recommender system and finally, discusses a sample scenario of recommender system in u-commerce.
Keywords :
electronic commerce; recommender systems; ubiquitous computing; context-aware recommender system; e-commerce; electronic commerce; m-commerce; mobile commerce; organizational computing; organizational innovation; technological innovation; u-commerce; ubiquitous commerce; Business; Collaboration; Context; Context-aware services; Recommender systems; case based filtering; collaborative filtering; content based filtering; context; demographic; personalization; recommender system; u-commerce;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics Computer Technology (ICECT), 2011 3rd International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4244-8678-6
Electronic_ISBN :
978-1-4244-8679-3
Type :
conf
DOI :
10.1109/ICECTECH.2011.5941937
Filename :
5941937
Link To Document :
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