DocumentCode
3706786
Title
Personalized E-Advertisement and Experience: Recommending User Targeted Ads
Author
Dana A. Al Qudah;Alexandra I. Cristea;Suncica Hadzidedic Bazdarevic;Samar Al-Saqqa;Ali Rodan;Wei Yang
Author_Institution
Dept. of Comput. Sci., Univ. of Warwick, Coventry, UK
fYear
2015
Firstpage
56
Lastpage
61
Abstract
Personalized e-advertising is the art of attracting users´ attention by correlating to their tastes and interests. The evolving research of adaptive hypermedia with its techniques and theories contributed to the personalization field. This paper reports the case study of "My Ads", an adaptive e-advertisement delivery system that is based on a new theoretical framework, to evaluate users´ acceptance of personalized ads. The results indicated that the implemented features within the system contributed to an enhanced experience through the exposure to different personalization methods and the appealing ideas of the system.
Keywords
"Adaptation models","Adaptive systems","Advertising","Data models","History","Standards"
Publisher
ieee
Conference_Titel
e-Business Engineering (ICEBE), 2015 IEEE 12th International Conference on
Type
conf
DOI
10.1109/ICEBE.2015.19
Filename
7349945
Link To Document