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Hybrid approach for designing smart adaptive Web Sites
Keywords:
Adaptivity, Smart, AI, Prediction, Approach, Pre-designed, Automatic synthesizingAbstract
The very beginning of the research on Smart Adaptive Web Systems (SAWS). They are systems that adapt their response based on the context in which they are used. In AWS, three main sources of information have been identified are: user, environment, and technology. To design a site for adaptivity, the site s parts must be changeable according to users needs and interests. This paper represents a careful study of a large number of adaptive web systems which are used for adapting predesigned web pages and automatic synthesizing web pages. It suggests a new approach to extract the user s interest without the need of many visits to the web site or viewing the catalog in details. Different E-metrics are measured to evaluate the user s history, extract users interests, create adaptable interface, and synthesize a new page with special features referring to users needs and interests and also predict the next step the user may need.
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References
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[25] Peter Dolog, and Wolfgang Nejdl, "Semantic Web Technologies for the Adaptive Web". Book Series: Lecture Notes in Computer Science, Publisher: Springer Berlin / Heidelberg. ISBN: 978-3-540-72078-2, pages: 697-719. (2007).
[26] Alade Rahman, M.; Ahmad, H.F.; Suguri, H.; Sadik, S.; Longe, H.O.D.; Ojo, A.K.. "Supply chain optimization towards personalizing web services". Intelligent Systems, 2008. IS '08. 4th International IEEE ConferenceVolume 3, 6-8 Sept. 2008 Page(s):19-17 - 19-22. (2008).
[27] B. Chadwick. Karl Lieberherr. "DemeterF: The functional adaptive programming library". (2009).
[28] Antony Jsmeson DFKI, German Research Center for AI/ International University in Germany. "User-Adaptive and Other Smart [36] Adaptive Systems: Possible Synergies". Plenary Session and Panel Discussion First EUNITE Symposium, Tenerife, (14 December 2001).
[2] Mario Cannataro, Alfredo Cuzzocrea, and Andrea Pugliese, "XAHM: an adaptive hypermedia model based on XML", In proceedings of the 14th international conference on Software engineering and knowledge engineering, ACM Press, pp. 627– 634, (2002).
[3] I. Schwab,W. Pohl, and I. Koychev, "Learning to recommend from positive evidence", in Proc. 2000 Int. Conf. on Intelligent User Interfaces, pp. 241–247, New Orleans, (2000).
[4] De Bra, P., G.J. Houben, and H. Wu. "AHAM: A Dexterbased Reference Model for Adaptive Hypermedia". Proceedings of the ACM Conference on Hypertext and Hypermedia, Germany, (1999).
[5] Paul De Bra and Natalia Stash, "Aha! adaptive hypermedia for all", pp. 411– 412, (2002).
[6] Liliana Ardissono, Luca Console, and Ilaria Torre, "An adaptive system for the personalized access to news", AI Commune. no. 3, 129–147, (2001).
[7] Hossein Sadat and Ali A. Ghorbani, "Automated Web Page Synthesis in Adaptive Web Systems". Workshop in conjunction with AI 2004. pp. 73–83. (May 2004).
[8] Mark Kilfoil, Wenpu Xing and Ali Ghorbani, NB, E3B 5A3, Canada, “ARAS: Adaptive Recommender for Academic Scheduling”, (2005) IEEE.
[9] I. A. S. group. "Adaptive web sites (AWS) framework high level design document". Technical Report TR03-102, Intelligent and Adaptive Systems Research Group, Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada, December, (2003).
[10] A. Jameson, R. S ̈ahafer, T. Weis, n A. Berthold, and T. Weyrath, "Making systems sensitive to the user’s changing resources limitations", Knowledge-Based Systems, this paper published in the proceedings of IUI99 (1999).
[11] G. Paliouras, C. Papatheodorou, V. Karkaletsis, P. Tzitziras, and C.D. Spyropolous, "Large-scale mining of usage data on web sites", in Working Notes of the “Adaptive User Interfaces” Spring Symposium of AAAI, Stanford, CA, (2000).
[12] Paul De Bra, Ad Aerts, Bart Berden, Barend de Lange, Brendan Rousseau, Tomi Santic, David Smits, Natalia Stash "AHA! The Adaptive Hypermedia Architecture". HT’03, August 26–30, , Nottingham, United Kingdom. ACM. (2003).
[13] H. Sadat and A. A. Ghorbani. "On the evaluation of adaptive web systems". Intelligent and Adaptive Systems Group Faculty of Computer Science, University of New Brunswick In WSS04, The Second International Workshop on Web-based Support Systems in conjunction with AI 2004, pages 127–136, Beijing, China, (September 2004).
[14] Perkowitz, M., Etzioni, O.: “Adaptive web sites: an AI challenge”. IJCAI97 (1997).
[15] Joao M. B. Cavalcanti and David Robertson, “Synthesis of web sites from high level descriptions”, Lecture Notes in Computer Science 2016 (2001).
[16] M. Kilfoil, D. A. Ghorbani,W. Xing, Z. Lei, J. Lu, J. Zhang, and X. Xu. "Toward an adaptive web: The state of the art and science". In Proceedings of Communication Network and Services Research (CNSR) 2003 Conference, pages 108– 119, Moncton, NB, Canada, May 15–16, (2003).
[17] W3C, http://www.w3.org/RDF/. Resource Description Framework (RDF).
[18] L. Ardissono and A. Goy. "Tailoring the interaction with users in web stores. User Modeling and User-Adapted Interaction", 10(4):251– 303, 2000.
[19] Mehran Nadjarbashi-Noghani, Jie Zhang, Hossein Sadat K.M. and Ali A. Ghorbani, "PENS: A Personalized Electronic News System", IEEE Computer Society 2005, ISBN 0-7695-2333-1. Faculty of Computer Science, University of New Brunswick Fredericton, NB, E3B 5A3, Canada. (2005).
[20] Hossein Sadat and Ali A. Ghorbani, "Automated Web Page Synthesis in Adaptive Web Systems". Business Agents and the Semantic Web (BASeWEB’04) Workshop in conjunction with AI 2004 (Ontario, Canada), pp. 73–83. (May 2004).
[21] Theodore Frick, Michele Elder, Christopher Hebb, Ying Wang, Sangil Yoon. " Adaptive Usability Evaluation of Complex Web Sites: How Many Tasks?", Indiana University, W.W. Wright. Education 2276, 201 N. Rose Ave. Bloomington, IN 47405-1006, (2006).
[22] Raymond Raymond K. Pon, Alfonso F. Cardenas, David Buttler, Terence Critchlow. "Tracking multiple topics for finding interesting articles". International Conference on Knowledge Discovery and Data Mining, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. ISBN: 978-1-59593-609-7. Pages: 560 – 569. (2007).
[23] Ranieri Baraglia, Fabrizio Silvestri. "Dynamic personalization of web sites without user intervention", ISSN:0001-0782 , Commun. ACM, Pages: 63 - 67 , Vol. 50, No. 2. (February 2007).
[24] Christian Doerr, Daniel von Dincklage , Amer Diwan . "Simplifying web traversals by recognizing behavior patterns". Conference on Hypertext and Hypermedia, Proceedings of the eighteenth conference on Hypertext and hypermedia. Pages: 105 - 114 , ISBN:978-1-59593-820-6. Manchester, UK, (2007).
[25] Peter Dolog, and Wolfgang Nejdl, "Semantic Web Technologies for the Adaptive Web". Book Series: Lecture Notes in Computer Science, Publisher: Springer Berlin / Heidelberg. ISBN: 978-3-540-72078-2, pages: 697-719. (2007).
[26] Alade Rahman, M.; Ahmad, H.F.; Suguri, H.; Sadik, S.; Longe, H.O.D.; Ojo, A.K.. "Supply chain optimization towards personalizing web services". Intelligent Systems, 2008. IS '08. 4th International IEEE ConferenceVolume 3, 6-8 Sept. 2008 Page(s):19-17 - 19-22. (2008).
[27] B. Chadwick. Karl Lieberherr. "DemeterF: The functional adaptive programming library". (2009).
[28] Antony Jsmeson DFKI, German Research Center for AI/ International University in Germany. "User-Adaptive and Other Smart [36] Adaptive Systems: Possible Synergies". Plenary Session and Panel Discussion First EUNITE Symposium, Tenerife, (14 December 2001).
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Published
2009-10-01
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[1]
“Hybrid approach for designing smart adaptive Web Sites”, JCS&T, vol. 9, no. 02, pp. p. 65–71, Oct. 2009, Accessed: Jan. 17, 2026. [Online]. Available: https://journal.info.unlp.edu.ar/JCST/article/view/719
