Title :
Is adaptation of e-advertising the way forward?
Author :
Qaffas, Alaa A. ; Cristea, Alexandra I. ; Lei Shi
Author_Institution :
Dept. of Comput. Sci., Univ. of Warwick, Coventry, UK
Abstract :
E-advertising is a multi-billion dollar industry that has shown exponential growth in the last few years. However, although the number of users accessing the Internet increases, users don´t respond positively to adverts. Adaptive e-advertising may be the key to ensuring effectiveness of the ads reaching their target. Moreover, social networks are good sources of user information and can be used to extract user behaviour and characteristics for presentation of personalized advertising. Here we present a two-sided study based on two questionnaires, one directed to Internet users and the other to businesses. Our study shows that businesses agree that personalized advertising is the best way for the future, to maximize effectiveness and profit. In addition, our results indicate that most Internet users would prefer adaptive advertisements. From this study, we can propose a new design for a system that meets both Internet users´ and businesses´ requirements.
Keywords :
Internet; advertising data processing; electronic commerce; social networking (online); Internet; adaptive e-advertising; advertising delivery system; e-commerce; personalized advertising; social networks; two-sided study; user behaviour extraction; Adaptation models; Adaptive systems; Advertising; Bandwidth; Internet; Social network services; adaptive advertising delivery system; e-advertising; e-commerce; personalisation; service oriented architecture;
Conference_Titel :
e-Learning, e-Management and e-Services (IC3e), 2013 IEEE Conference on
Conference_Location :
Kucing
Print_ISBN :
978-1-4799-1573-6
DOI :
10.1109/IC3e.2013.6735977