Unintrusive customization techniques for Web advertising
WWW '99 Proceedings of the eighth international conference on World Wide Web
Document Categorization and Query Generation on the World Wide WebUsing WebACE
Artificial Intelligence Review - Special issue on data mining on the Internet
Automatic personalization based on Web usage mining
Communications of the ACM
Communications of the ACM
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Data Mining and Knowledge Discovery
A taxonomy of scheduling in general-purpose distributed computing systems
IEEE Transactions on Software Engineering
PagePrompter: An Intelligent Web Agent Created Using Data Mining Techniques
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
An automated system for web portal personalization
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
AdROSA-Adaptive personalization of web advertising
Information Sciences: an International Journal
A fuzzy-based method for improving recall values in recommender systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Theoretical advances of intelligent paradigms
Mining Indirect Association Rules for Web Recommendation
International Journal of Applied Mathematics and Computer Science
Adaptrank: a hybrid method for improving recommendation recall
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
WindOwls-Adaptive system for the integration of recommendation methods in e-commerce
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Multi-agent system for web advertising
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Non-textual document ranking using crawler information and web usage mining
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
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Automatic and non-invasive web personalization seems to be a challenge for nowadays web sites. Many web mining techniques are used to achieve this goal. Since current web sites evolve constantly, web mining operations should be periodically repeated. A multi-agent architecture facilitates integration of different mining methods and permits the discovered knowledge to be verified and updated automatically. We propose ROSA (Remote Open Site Agents) -- a system that may be easily incorporated into an existing web site. It consists of multiple heterogeneous agents such as: User Session Monitor, Crawler, Content Miner, Usage Miner, Hyperlink Recommender, Banner Recommender, etc., that are responsible for specific web mining and personalization tasks. They integrate various mining techniques using common representation of documents in the vector space model in order to recommend hyperlinks and banners. Verification process is represented by a task graph. ROSA agents not only detect when their information should be verified, but they are also able to coordinate knowledge update operations (using method presented in this paper). The practical part describes the usage of FIPA- RDF0 and ACL languages.