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Active view agents for personalized e-commerce applications

Giving the right information to the right person at the right time is one of the main factors contributing to the success of e-commerce applications. Existing applications of active views to e-commerce mostly generate application views based on user roles such as customers and vendors, so they canno...

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Bibliographic Details
Main Authors: Sakulwong, K., Sunetnanta, T.
Format: Article
Language:English
Published: Universiti Utara Malaysia 2003
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://repo.uum.edu.my/1018/1/K._Sakulwong.pdf
http://repo.uum.edu.my/1018/
http://jict.uum.edu.my
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spelling my.uum.repo.10182010-09-01T04:11:10Z http://repo.uum.edu.my/1018/ Active view agents for personalized e-commerce applications Sakulwong, K. Sunetnanta, T. TK Electrical engineering. Electronics Nuclear engineering Giving the right information to the right person at the right time is one of the main factors contributing to the success of e-commerce applications. Existing applications of active views to e-commerce mostly generate application views based on user roles such as customers and vendors, so they cannot completely serve one-to-one marketing. Furthermore, the data controlled by the existing applications is limited to those retrieved from databases, but not includes other web contents such as pictures, descriptive information and hyperlinks. In addition, the integration of active views to existing e-commerce applications still presents some difficulties in tackling with heterogenity. This work presents a model of Active View Agents System (AVAS), built based on a co-performance model of multi-agents, to resolve these problems. Universiti Utara Malaysia 2003 Article PeerReviewed application/pdf en http://repo.uum.edu.my/1018/1/K._Sakulwong.pdf Sakulwong, K. and Sunetnanta, T. (2003) Active view agents for personalized e-commerce applications. Journal of ICT, 2 (1). pp. 1-14. ISSN 1675-414X http://jict.uum.edu.my
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Sakulwong, K.
Sunetnanta, T.
Active view agents for personalized e-commerce applications
description Giving the right information to the right person at the right time is one of the main factors contributing to the success of e-commerce applications. Existing applications of active views to e-commerce mostly generate application views based on user roles such as customers and vendors, so they cannot completely serve one-to-one marketing. Furthermore, the data controlled by the existing applications is limited to those retrieved from databases, but not includes other web contents such as pictures, descriptive information and hyperlinks. In addition, the integration of active views to existing e-commerce applications still presents some difficulties in tackling with heterogenity. This work presents a model of Active View Agents System (AVAS), built based on a co-performance model of multi-agents, to resolve these problems.
format Article
author Sakulwong, K.
Sunetnanta, T.
author_facet Sakulwong, K.
Sunetnanta, T.
author_sort Sakulwong, K.
title Active view agents for personalized e-commerce applications
title_short Active view agents for personalized e-commerce applications
title_full Active view agents for personalized e-commerce applications
title_fullStr Active view agents for personalized e-commerce applications
title_full_unstemmed Active view agents for personalized e-commerce applications
title_sort active view agents for personalized e-commerce applications
publisher Universiti Utara Malaysia
publishDate 2003
url http://repo.uum.edu.my/1018/1/K._Sakulwong.pdf
http://repo.uum.edu.my/1018/
http://jict.uum.edu.my
_version_ 1644277886525374464
score 13.211869

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