ABSTRACT
The analysis, design and maintenance of Web sites involves two significant challenges: managing the services and content available, and secondly, making the site dynamically adequate to user's needs. These challenges can be addressed by automating several of the management activities of a Web site. In this work we propose to develop a platform that can be used for that purpose, which is independent of the Web site. We started by developing a data warehouse that stores data about the usage, content and structure of a Web site. We have also developed a tool that uses the data in the data warehouse and provides information to the editor to monitor the activity on the Web site as well as the site itself. We have recently begun to develop multidimensional recommender systems that take advantage of the wealth of the data in the data warehouse. Both simulated and live tests are carried out to test the platform.
- G. Adomavicius, R. Sankaranarayanan, S. Sen, and A. Tuzhilin. Incorporating contextual information in recommender systems using a multidimensional approach. ACM Transactions on Information Systems (TOIS), 23(1):103--145, 2005. Google ScholarDigital Library
- R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proceedings of Twentieth International Conference on Very Large Data Bases, VLDB, pages 487--499, 1994. Google ScholarDigital Library
- J. S. Breese, D. Heckerman, and C. M. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, pages 43--52, 1998. Google ScholarDigital Library
- M. A. Domingues, A. M. Jorge, C. Soares, J. P. Leal, and P. Machado. A data warehouse for web intelligence. In Proceedings of the 13th Portuguese Conference on Artificial Intelligence (EPIA 2007), pages 487--499, 2007.Google Scholar
- M. A. Domingues, A. M. Jorge, C. Soares, J. P. Leal, and P. Machado. A platform to support web site adaptation and monitoring of its efects: a case study. In Proceedings of the 6th Workshop on Intelligent Techniques for Web Personalization and Recommender Systems (ITWP 2008), pages 29--36, Chicago, Illinois, 2008.Google Scholar
- M. A. Domingues, C. Soares, and A. M. Jorge. A web-based system to monitor the quality of meta-data in web portals. In WI-IATW'06: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, pages 188--191, Washington, DC, USA, 2006. Google ScholarDigital Library
- G. Karypis. Evaluation of item-based top-n recommendation algorithms. In CIKM'01: Proceedings of the 10th International Conference on Information and Knowledge Management, pages 247--254, New York, NY, USA, 2001. Google ScholarDigital Library
- R. Kimball and R. Merz. The Data Webhouse Toolkit: Building the Web-Enabled Data Warehouse. John Wiley & Sons, Inc., New York, NY, USA, 2000. Google ScholarDigital Library
- R. Kosala and H. Blockeel. Web mining research: a survey. SIGKDD Explorations: Newsletter of the Special Interest Group on Knowledge Discovery & Data Mining, ACM, 2(1):1--15, 2000. Google ScholarDigital Library
- B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Analysis of recommendation algorithms for e-commerce. In Proceedings of the 2nd ACM Conference on Electronic Commerce, pages 158--167, 2000. Google ScholarDigital Library
Index Terms
An independent platform for the monitoring, analysis and adaptation of web sites
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