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Personalized E-Advertisement and Experience: Recommending User Targeted Ads

  • Dana A. Al Qudah
  • , Alexandra I. Cristea
  • , Suncica Hadzidedic Bazdarevic
  • , Samar Al-Saqqa
  • , Ali Rodan
  • , Wei Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 12th IEEE International Conference on E-Business Engineering, ICEBE 2015
EditorsYinsheng Li, Kuo-Ming Chao, Jen-Yao Chung, Xiang Fei
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages56-61
Number of pages6
ISBN (Electronic)9781467380027
DOIs
StatePublished - 8 Dec 2015
Event12th IEEE International Conference on E-Business Engineering, ICEBE 2015 - Beijing, China
Duration: 23 Oct 201525 Oct 2015

Publication series

NameProceedings - 12th IEEE International Conference on E-Business Engineering, ICEBE 2015

Conference

Conference12th IEEE International Conference on E-Business Engineering, ICEBE 2015
Country/TerritoryChina
CityBeijing
Period23/10/1525/10/15

Keywords

  • Adaptive hypermedia
  • eadvertisement
  • information retrieval
  • personalization
  • user modeling

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