D. A. Qudah, A. Cristea, Suncica Hadzidedic, Samar Al-Saqqa, Ali Rodan, Wei Yang
{"title":"Personalized E-Advertisement and Experience: Recommending User Targeted Ads","authors":"D. A. Qudah, A. Cristea, Suncica Hadzidedic, Samar Al-Saqqa, Ali Rodan, Wei Yang","doi":"10.1109/ICEBE.2015.19","DOIUrl":null,"url":null,"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.","PeriodicalId":153535,"journal":{"name":"2015 IEEE 12th International Conference on e-Business Engineering","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 12th International Conference on e-Business Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEBE.2015.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
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.