Dynamic personalization of web sites without user intervention

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Dynamic personalization of web sites without user intervention

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Communications of the ACM archive
Volume 50 , Issue 2 (February 2007) table of contents
Spam and the ongoing battle for the inbox

Pages: 63 - 67

Year of Publication: 2007

ISSN:0001-0782

Authors

Ranieri Baraglia	Information Science and Technology Institute (ISTI) of the Italian National Research Council in Pisa, Italy
Fabrizio Silvestri	Information Science and Technology Institute (ISTI) of the Italian National Research Council in Pisa, Italy

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 75, Downloads (12 Months): 461, Citation Count: 5

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appendices and supplements abstract references cited by index terms collaborative colleagues

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ABSTRACT

A novel online recommender system builds profiling models and offers suggestions without the user taking the lead.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Liliana Ardissono , Anna Goy , Giovanna Petrone , Marino Segnan, Personalization in business-to-customer interaction, Communications of the ACM, v.45 n.5, May 2002 [doi>10.1145/506218.506245]
	2	Ranieri Baraglia , Fabrizio Silvestri, An Online Recommender System for Large Web Sites, Proceedings of the Web Intelligence, IEEE/WIC/ACM International Conference on (WI'04), p.199-205, September 20-24, 2004 [doi>10.1109/WI.2004.29]
	3	Magdalini Eirinaki , Michalis Vazirgiannis, Web mining for web personalization, ACM Transactions on Internet Technology (TOIT), v.3 n.1, p.1-27, February 2003 [doi>10.1145/643477.643478]
	4	M. Eirinaki , M. Vazirgiannis , I. Varlamis, SEWeP: using site semantics and a taxonomy to enhance the Web personalization process, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, August 24-27, 2003, Washington, D.C. [doi>10.1145/956750.956765]
	5	Megiddo, N. and Srikant, R. Discovering predictive association rules. In Proceedings of Knowledge Discovery and Data Mining (1998), 274--278.
	6	Nath, S.V. Customer churn analysis in the wireless industry: A data mining approach. See the section on Transactional Naive Bayes.
	7	Oberle, D., Berendt, B., Hotho, A., and Gonzalez, J. Conceptual user tracking. In Proceedings of Web Intelligence, First International Atlantic Web Intelligence Conference. E. Menasalvas Ruiz, J. Segovia, and P.S. Szczepaniak, Eds. (Madrid, Spain, May 5-6, 2003). Springer, 142--154.
	8	Oracle Corporation. Oracle application server 10g business intelligence overview. See the section on the Personalization Tool.
	9	Mike Perkowitz , Oren Etzioni, Adaptive Web sites, Communications of the ACM, v.43 n.8, p.152-158, Aug. 2000 [doi>10.1145/345124.345171]

CITED BY 5

	Shuk Ying Ho , Michael J. Davern , Kar Yan Tam, Personalization and choice behavior: the role of personality traits, ACM SIGMIS Database, v.39 n.4, November 2008
	Mike Hart, Do online buying behaviour and attitudes to web personalization vary by age group?, Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology, p.86-93, October 06-08, 2008, Wilderness, South Africa
	Felix Ntawanga , André P. Calitz , Lynette Barnard, Maintaining customer profiles in an e-commerce environment, Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology, p.169-179, October 06-08, 2008, Wilderness, South Africa
	Antonio Picariello , Carlo Sansone, A web usage mining algorithm for web personalization, Intelligent Decision Technologies, v.2 n.4, p.219-230, October 2008
	I-Cheng Yeh , Che-hui Lien , Tao-Ming Ting , Chin-Hao Liu, Applications of web mining for marketing of online bookstores, Expert Systems with Applications: An International Journal, v.36 n.8, p.11249-11256, October, 2009