A mental cognitive model of web semantic for e-customer profile

Document Type

Conference paper

Source Publication

Proceedings - International Workshop on Database and Expert Systems Applications, DEXA

Publication Date

1-1-2002

Volume

2002-January

First Page

116

Last Page

120

Publisher

Institute of Electrical and Electronics Engineers Inc.

Keywords

Algorithm design and analysis, Computer architecture, Information systems, Internet, Quality of service, System software, Web page design, Web pages, Web server, Web sites

Abstract

e-Business is competing in the new era of e-market. We need an infrastructure that could provide insight information to enable maximum and constant learning that lead to a responsive Web site. To keep the Web site in business on-line, we need sufficient on-line traffic on the e-Business Web site. This result of an urgent need to investigate the keys to satisfy and stimuli e-customers by providing customer-effective Web sites that delivered business focused e-services. The primary need is to produces a view of the behavior of the e-business system and its e-customers. Successful e-Business aim to provide customers with optimal on-line experience in e-business Web site that supports effective customer relationship from customer awareness, through exploration to purchase commitment. This paper focuses on modeling e-customer behavior by developing a Mental Cognitive (MC) Model for identifying the Web site semantics via the activities exercised by its e-customers. Our proposed MC Model also supports quantitative measure to abstract more rigorously the behavior of e-customers in support of Internet marketing.

DOI

10.1109/DEXA.2002.1045886

Print ISSN

15294188

Publisher Statement

Copyright © 2002 IEEE. Access to external full text or publisher's version may require subscription.

Additional Information

Paper presented at the 13th International Workshop on Database and Expert Systems Applications (DEXA 2002), Sep 02-06, 2002, Aix Provence, France.

ISBN of the source publication: 0769516688

Full-text Version

Publisher’s Version

Language

English

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