References

Agrawal, R., Imielinski, T. & Swami, A. (1993). Mining association rules between sets of items in large databases. Proceedings of the ACM SIGMOD International Conference on Management of Data , (pp. 207-216).

Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules. Proceedings of the 20th VLDB Conference, Santago, Chile, (pp. 487-499).

Ambrosini, L., Cirillo, V., & Micarelli, A. (1997). A hybrid architecture for user - adapted information filtering on the World Wide Web. Proceedings of the 6th International Conference on User Modelling (UM'97), Spirnger-Verlag, (pp. 59-61).

Armstrong, R., Joachims, D., Freitag, D., & Mitchell, T. (1995). WebWatcher: A learning apprentice for the World Wide Web. Proceedings of the AI Spring Symposium on Information Gathering from Hererogeneous, Distributed Environments , Stanford, CA, (pp. 6-13).

Balabanovic, M., & Shoham, Y. (1997). Content-based collaborative recommendation. Communications of the ACM , 40 (3), 66-72.

Berendt, B., Hotho, A., & Stumme, G. (2002). Towards semantic Web mining. In I.

Horrocks & J. Hendler (Eds.), Proceedings of the ISWC 2002 , LNCS 2342, (pp. 264-278). Berlin: Springer-Verlag.

Blom, J. (2000). Personalization - A taxonomy. Proceedings of the CHI 2000 Workshop on Designing Interactive Systems for 1-to-1 Ecommerce. New York: ACM. Retrieved from: http://www.zurich.ibm.com/~mrs/chi2000/

Brusilovsky, P. (1996). Methods and techniques of adaptive hypermedia. Journal of User Modeling and User-Adaptive Interaction , 6 (2-3), 87-129.

Brusilovsky, P. (2001). Adaptive hypermedia. Journal of User Modeling and User-Adapted Interaction, Ten Year Anniversary Issue 11 (Alfred Kobsa, ed.), 87-110.

Buchner, M., Baumgarten, M., Anand, S., Mulvenna, M., & Hughes, J. (1999). Navigation pattern discovery from Internet data. WEBKDD'99, San Diego, CA.

Chakrabarti, S. (2003). Mining the Web: Discovering knowledge from hypertext data . Elsevier Science.

Chakrabarti S. et al. (1999). Mining the link structure of the World Wide Web. IEEE Computer , 32 (8), 60-67.

Chen, M., Park, J., & Yu, P. (1996). Data mining for path traversal patterns in a Web environment. Proceedings of the 16th International Conference on Distributed Computing Systems , (pp. 385-392).

Chen, M., Park, J., & Yu, P. (1998). Efficient data mining for path traversal patterns. IEEE Transactions Knowledge and Data Engineering , 10 (2), 209-221.

Cingil, I., Dogac, A., & Azgin, A. (2000). A broader approach to personalization. Communications of the ACM , 43 (8), 136-141.

Cooley, R., Mobasher, B., & Srivastava, J. (1997). Grouping Web page references into transactions for mining World Wide Web browsing patterns. Knowledge and Data Engineering Workshop, Newport Beach, CA, (pp. 2-9).

Cooley, R., Mobasher, B., & Srivastava, J. (1999a). Data preparation for mining World Wide Web browsing patterns. Knowledge and Information Systems , 1 (1), 5-32.

Cooley, R., Tan, P., & Srivastava, J. (1999b). WebSIFT: The Web site information filter system. WEBKDD, San Diego, California. Retrieved from: http://www.acm.org/sigkdd/proceedings/webkdd99/papers/paper11-cooley.ps

Cooley, R., Tan, P., & Srivastava, J. (2000). Discovering of interesting usage patterns from Web data. In M. Spiliopoulou (Ed.), LNCS/LNAI Series , Springer-Verlag.

Earp, J., & Baumer, D. (2003). Innovative Web use to learn about consumer behavior and online privacy. Communications of the ACM , 46 (4), 81-83.

Eirinaki, M., & Vazirgiannis, M. (2003, February). Web mining for Web personalization. ACM Transactions on Internet Technology (TOIT). ACM Press New York , 3 (1), 1-27.

Goldsmith, R. (1999). The personalized marketplace : Beyond the 4Ps. Marketing Intelligence and Planning Journal , 17 (14), 178-185.

Joachims, T., Freitag, D., & Mitchell, T. (1997). WebWatcher: A tour guide for the World Wide Web. Proceedings of the 15th International Joint Conference on Artificial Intelligence (JCAI97), Morgan Kaufmann Publishers, (pp. 770-775).

Kobsa, A., & Schreck, J. (2003). Privacy through pseudonymity in user-adaptive systems. Transactions on Internet Technology , 3 (2), 149-183.

Kohonen, T. (1997). Self-organizating maps . New York: Springer-Verlag.

Kosala, R., & Blockeel, H. (2000). Web mining research: A survey. SIGKDD Explorations , 2 (1), 1-15.

Kramer, J., Noronha, S., & Vergo, J. (2000). A user-centered design approach to personalization. Communications of the ACM , 8 , 45-48.

Lieberman, H. (1995). Letizia: An agent that assists Web browsing. Proceedings of the 14th International Joint Conference Artificial Intelligence, Montreal, CA, (pp. 924-929).

Liebermann, Y., & Stashevsky, S. (2002). Perceived risks as barriers to Internet and e- commerce usage. Qualitative Market Research: An International Journal , 5 (4), 291-300.

Lieberman, H., Van Dyke, N., & Vivacqua, A. (1999). Let's browse: A collaborative Web browsing agent. Proceedings of the International Conference on Intelligent User Interfaces (IUI'99), Redondo Beach, USA, ACM Press, (pp. 65-68).

MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations. In L. M. Le Cam & J. Neyman (Eds.), Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, University of California Press, (vol. 1, pp. 281-297).

Manber, U., Patel, A., & Robison, J. (2000). Experience with personalization on Yahoo!. Communications of the ACM , 43 (8), 35-39.

Markellos, K., Markellou, P., Rigou, M., Sirmakessis, S., & Tsakalidis, A. (2004). Web personalization and the privacy concern. Proceedings of the 7th ETHICOMP International Conference on the Social and Ethical Impacts of Information and Communication Technologies, Challenges for the Citizen of the Information Society , Syros, Greece, 14-16 April.

Markellou, P., Rigou, M., & Sirmakessis, S. (2004). Mining for Web personalization. In A. Scime (Ed.), Web mining: Applications and techniques . Hershey, PA: Idea Group Publishing (forthcoming January 2004).

Mesquita, C., Barbosa, S.D., & Lucena, C.J. (2002). Towards the identification of concerns in personalization mechanisms via scenarios. Proceedings of 1st International Conference on Aspect-Oriented Software Development , Enschede, The Netherlands. Retrieved from: http://trese.cs.utwente.nl/AOSD-EarlyAspectsWS/ Papers/Mesquita.pdf

Mladenic, D. (1999). Text learning and related intelligent agents . IEEE Intelligent Systems and their Applications , 14 (4), 44-54.

Mobasher, B., Cooley, R., & Srivastava, J. (2000). Automatic personalization based on Web usage mining. Communications of the ACM , 43 (8), 142-151.

Mobasher, B., & Dai, H. (2003). A road map to more effective Web personalization: Integrating domain knowledge with Web usage mining. Proceedings of the International Conference on Internet Computing 2003 (IC'03), Las Vegas, Nevada.

Mulvenna, M., Anand, S., & Bchner, A. (2000). Personalization on the Net using Web mining. Communications of the ACM , 43 (8), 122-125.

Ngu, D., & Wu, X. (1997). SiteHelper: A localized agent that helps incremental exploration of the World Wide Web. Proceedings of the 6th World Wide Web Conference , Santa Clara, CA.

Nielsen, J. (1994). Usability engineering . Morgan Kaufmann.

Nielsen, J. (1998, October 4). Personalization is over-rated. Alertbox. Retrieved from: http://www.useit.com

Perkowitz, M., & Etzioni, O. (1997). Adaptive Web sites: An AI challenge. Proceedings of the 15th International Joint Conference on Artificial Intelligence.

Perkowitz, M., & Etzioni, O. (2000a). Adaptive Web sites. Communications of the ACM , 43 (8), 152-158.

Perkowitz, M., & Etzioni, O. (2000b). Towards adaptive Web sites: Conceptual framework and case study. Artificial Intelligence , 118 (1-2), 245-275.

Perner, P., & Fiss, G. (2002). Intelligent e-marketing with Web mining, personalization, and user-adapted interfaces. In P. Perner (Ed.), Advances in data mining 2002, LNAI 2394, 37-52 , 2002. Springer-Verlag, Berlin Heidelberg 2002.

Rasmussen, E. (1999). Clustering algorithms. In W. B. Frakes & R. Baeza-Yates (Eds.), Information retrieval: Data structure and algorithms, Chap. 16. New York: Prentice Hall.

Schafer, J., Konstan, J., & Riedl, J. (2001). E-commerce recommendation applications. Data Mining and Knowledge Discovery , 5 (1), 115-153.

Spiliopoulou, M., & Faulstich, L. (1998). WUM: A Web utilization miner. EDBT Workshop WebDB98, Valencia, Spain.

Spiliopoulou, M., Faulstich, L., & Wilkler, K. (1999a). A data miner analyzing the navigational behavior of Web users. Proceedings of the Workshop on Machine Learning in User Modelling of the ACAI99, Chania, Greece.

Spiliopoulou, M., & Pohle, C. (2000). Data mining for measuring and improving the success of Web sites. Data Mining and Knowledge Discovery , Special Issue on Electronic Commerce.

Spiliopoulou, M., Pohle, C., & Faulstich, L. (1999b). Improving the effectiveness of a Web site with Web usage mining. Proceedings of the WEBKDD99, San Diego, CA, (pp. 142-162).

Srivastava, J., Cooley, R., Deshpande, M., & Tan, P. (2000, January). Web usage mining: Discovery and applications of usage patterns from Web data. ACM SIGKDD , 1 (2), 12-23.

Vassiliou, C., Stamoulis, D., & Martakos, D. (2002). The process of personalizing Web content: Techniques, workflow and evaluation. Proceedings of the International Conference on Advances in Infrastructure for Electronic Business, Science, and Education on the Internet January 21 2002 , L'Aquila, Italy. Retrieved from: http://www.ssgrr.it/en/ssgrr2002s/papers.htm

Willett, P. (1988). Recent trends in hierarchic document clustering: A critical review. Information Processing and Management , 24 (5).

Wilson, R. (1999). The five mutable laws of Web marketing. Web Marketing Today , 55 .

Wu, K., Yu, P., & Ballman, A. (1998). SpeedTracer: A Web usage mining and analysis tool. IBM Systems Journal , 37 (1), 89-105.

Yao, Y., Zhong, N., Liu, J., & Ohsuga, S. (2001). Web intelligence (WI) research challenges and trends in the new Information Age. N. Zhong et al. (Eds.), WI 2001 , LNAI 2198, 1-17, Springer-Verlag Berlin Heidelberg.