Web prefetching performance metrics: a survey
Performance Evaluation
Multiuser prefetching with queuing prioritization in heterogeneous wireless systems
QShine '06 Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks
An ontological multi-agent system for web services
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
FAQ-master: an ontological multi-agent system for web FAQ services
WSEAS Transactions on Information Science and Applications
An ontological Proxy Agent with prediction, CBR, and RBR techniques for fast query processing
Expert Systems with Applications: An International Journal
Self-adaptive utility-based web session management
Computer Networks: The International Journal of Computer and Telecommunications Networking
Adaptive Web SitesA Knowledge Extraction from Web Data Approach
Proceedings of the 2008 conference on Adaptive Web Sites: A Knowledge Extraction from Web Data Approach
An ontology-supported information management agent with solution integration and proxy
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Short Survey: A taxonomy of web prediction algorithms
Expert Systems with Applications: An International Journal
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As an increasing number of users access information on the World Wide Web, there is a opportunity to improve well known strategies for web caching, prefetching, dynamic user modeling and dynamic site customization in order to obtain better subjective performance and satisfaction in web surfing. In this paper, we propose a new method to exploit user navigational path behavior to predict, in real-time, future requests. Predicting user next requests is useful not only for document caching/prefetching, it is also suitable for quick dynamic portal adaptation to user behavior. Real-time user adaptation prevents the use of statistical techniques on web logs, and we propose the adoption of a predictive user modelbased on finite state machines together with an evolutionary algorithm that evolves a population of FSMs for achieving a good prediction rate.