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Al Qudah, Dana; Cristea, Alexandra I.; Shi, Lei; Al-Sayyed, Rizik M. H.; Obeidah, Amer (2014)
Languages: English
Types: Unknown
Subjects: QA76, HF
Online advertisement is one of the major incomes for many companies; it has a role in the overall business flow and affects the consumer behavior directly. Unfortunately most users tend to block their ads or ignore them. MyAds is a social adaptive hypermedia system for online advertising and its main goal is to explore how to make online ads more acceptable. In order to achieve such a goal, various technologies and techniques are used. This paper presents a theoretical framework as well as the system architecture for MyAds that was designed based on a set of hypotheses and an exploratory study. The system then was implemented and a pilot experiment was conducted to validate it. The main outcomes suggest that the system has provided personalized ads for users. The main implications suggest that the system can be used for further testing and validating.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] T. Coltman, TM Devinney, A Latukefu and D. Midgley (2002) “Keeping E-business in perspective”, Communications of the ACM - Evolving data mining into solutions for insights, Vol. 45, No. 8.
    • [2] A. Farahat, M., Bailey, How effective is targeted advertising?, Proceedings of the 21st international conference on World Wide Web, Lyon, France , April 16-20, 2012
    • [3] Goy, A., et al (2007). “Personalization in e-commerce applications”. In Brusilovsky, Kobsa, Nejdl,.(Eds).: LNCS 4321, 485-520.
    • [4]A. Agarwal, K. Hosanagar, M. D. Smith “Location, Location, Location: An Analysis of Profitability of Position in Online Advertising Markets”. Journal of Marketing Research, Vol. 48, No. 6, pp. 1057-1073, 2011 [5]Google Expands Advertising Monetization Program for Websites, Press Release, Google, June 18, 2003
    • [6] Y.Kohda, S.Endo “Ubiquitous advertising on the WWW: Merging advertisement on the browser”, Computer Network and ISDN System P.P 1493-1499, 1996.
    • [7] M., Lombard,, J. Snyder - Duch “Interactive advertising and presence: A Framework” . Journal of Interactive Advertising Vol 1 No 2 p.p.56-65 2001 http://www.jiad.org/vol1/no2/lombard/
    • [8] Curran, Kevin, Sarah Graham, and Christopher Temple. 2011. “Advertising on Facebook.” International Journal of EBusiness Development Vol.1 Iss.1 PP. 26-33
    • [9] Businessweek (2007) So Many Ads, SoFew Clicks - Can more targeted pitches on Facebook and other sites reverse the shrinking response to online ads?, Businessweek, November 12th 2007
    • [10] Guha, S., Cheng, B. and Francis, P. (2010) Challenges in Measuring Online Advertising Systems, ACM IMC 2010 Proceedings, November 1-3, 2010, Melbourne, Australia. [11]P.,Kazienko, M., Adamski, (2007) “AdROSA-Adaptive personalization of web advertising”.Information Sciences, Vol 177 Iss11, P.P 2269-2295.
    • [12] Vredenburg, K., Mao, J.-Y., Smith, P. W., & Carey, T. (2002). “A survey of user-centered design practice”, Proc. of SIGCHI CHI 2,(1),471.
    • [13] Schuler, D., Namioka,A., (1993) Participatory Design: Principles and Practices, Lawrence Erlbaum Associates, Inc., Mahwah, NJ
    • [14] Dana A. Al Qudah, Alexandra I. Cristea, Shi Lei, "An Exploratory study to design an adaptive hypermedia system for online advertisement” proceeding on the 9th International Conference on Web Information Systems and Technologies. Aachen -Germany , P.P 368-375
    • [15] Dana A. Al Qudah, Alexandra I. Cristea, "MyAds - A proposed adaptive social online advertising framework", JOEBM - Journal of Economics, Business and Management. Vol.1, No.4, P.P 401-406 ISSN: 2301-3567
    • [16] G.E. Krasner and S.T. Pope, A Cookbook for Using the Model-View-Controller User-Interface Paradigm in Smalltalk80, SICS Publication, 26-49, Journal of Object-Oriented Programming, August/September, 1988
    • [17] Wuensch, Karl L. (October 4, 2005). "What is a Likert Scale? and How Do You Pronounce 'Likert?'". East Carolina University. Retrieved June 30, 2013.
    • [18] Burns, Alvin; Burns, Ronald (2008). Basic Marketing Research (Second ed.). New Jersey: Pearson Education. p. 250. ISBN 978-0-13-205958-9.
    • [19] Shi, L., Al-Qudah, D. A., Cristea, A. I. (2012) Exploring Participatory Design for SNS-based AEH Systems. In Proceedings of the 11th IADIS International Conference WWW/INTERNET (ICWI 2012), pages 242 - 249, Madrid, Spain, 18 - 21 October 2012. IADIS Press.
    • [20] Shi, L., Al-Qudah, D. A., Cristea, A. I. (2012) Apply the We! Design Methodology in E-learning 2.0 System Design: A Pilot Study. In: Andrew V. Jones (Ed.) In Proceedings of the 2th Imperial College Computing Student Workshop (ICCSW 2012), pages 123 - 128, London, United Kingdom, September 27 - 28, 2012. OASICS Vol. 28, Schloss Dagstuhl - Leibniz Center for Informatics.
    • [21] Halasz, F., et al. 1994. The Dexter hypertext reference model. Communications of the ACM, 37(2): 30-39.
    • [22] Shi, L., Al-Qudah, D. A., Cristea, A. I. (2013) Designing Social Personalized Adaptive E-Learning. In Proceedings of the 18th ACM conference on Innovation and technology in computer science education (ITiCSE 2013), pages 341, Canterbury, UK, July 1 - 3, 2013. New York, NY, USA, 2013. ACM.
    • [23] Shi, L., Cristea, A. I., Awan, M., Stewart, C., Hendrix, M. (2013) Towards Understanding Learning Behavior Patterns in Social Adaptive Personalized E-Learning Systems. In Proceedings of the 19th Americas Conference on Information Systems (AMCIS 2013), pages 1 - 10, Chicago, Illinois, USA, August 15 - 17, 2013. Association for Information Systems.
    • [24] Brusilovsky, P. (2001). Adaptive hypermedia. User modeling and user-adapted interaction, 11(1-2), 87-110.
    • [25] Shi, L., Al-Qudah, D. A., Qaffas, A., Cristea, A. I. (2013) Topolor: A Social Personalized Adaptive E-Learning System. In Weibelzahl, S., Carberry, S., Micarelli, A., Semeraro, G. (eds.) Proceedings of the 21st Conference on User Modeling, Adaptation and Personalization (UMAP 2013), pages 338 - 340, Rome, Italy, June 10 - 14, 2013. LNCS 7899, Springer Berlin Heidelberg.
    • [26] Shi, L., Gkotsis, G., Stepanyan, K., Al-Qudah, D. A., Cristea, A. I. (2013) Social Personalized Adaptive E-Learning Environment - Topolor: Implementation and Evaluation. In Proceedings of the 16th International Conference on Artificial Intelligence in Education (AIED 2013), pages 708 - 711, Memphis, Tennessee, USA, July 9 - 13, 2013. LNCS 7926, Springer Berlin Heidelberg.
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