DocumentCode
3781435
Title
An Adaptive E-Advertising user model: The AEADS approach
Author
Alaa A. Qaffas;Alexandra I. Cristea
Author_Institution
Department of Computer Science, The University of Warwick, Coventry, CV4 7AL, U.K.
Volume
2
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
5
Lastpage
14
Abstract
By customising advertising campaigns based on the attributes of the user, the efficacy and success of the campaign is likely to be enhanced. The most challenging yet interesting part to model is the user (or customer). This paper focuses on an automated, simple, lightweight user model, easy to integrate into an existing system (storage and operation). Accordingly, the arbitrary commercial website can acquire the ability to retrieve general data of the user and monitor the behaviour of the user during navigation session on the website. It also presents a study that assesses the effectiveness of a tool based on this model, via a trial run of a model prototype with users.
Keywords
"Adaptation models","Advertising","Data models","XML","Adaptive systems","Computational modeling"
Publisher
ieee
Conference_Titel
e-Business and Telecommunications (ICETE), 2015 12th International Joint Conference on
Type
conf
Filename
7517888
Link To Document