Communications of the ACM - Supporting community and building social capital
Data Mining for Measuring and Improving the Success of Web Sites
Data Mining and Knowledge Discovery
Monitoring the quality of meta-data in web portals using statistics, visualization and data mining
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
An independent platform for the monitoring, analysis and adaptation of web sites
Proceedings of the 2008 ACM conference on Recommender systems
Towards the Discovery of Data Quality Attributes for Web Portals
ICWE '9 Proceedings of the 9th International Conference on Web Engineering
Information Systems and e-Business Management
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We present a web-based system to monitor the quality of the meta-data used to describe content in web portals. The system implements meta-data analysis using statistical, visualization and data mining tools. The web-based system enables the site's editor to detect and correct problems in the description of contents, thus improving the quality of the web portal and the satisfaction of its users. We have developed this system and tested it on a Portuguese portal for management executives.