Silk from a sow's ear: extracting usable structures from the Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User profiling with Case-Based Reasoning and Bayesian Networks
International Joint Conference, 7th Ibero-American Conference, 15th Brazilian Symposium on AI, IBERAMIA-SBIA 2000, Open Discussion Track Proceedings on AI
Linear Time Algorithms for Finding Maximal Forward References
ITCC '03 Proceedings of the International Conference on Information Technology: Computers and Communications
WhatNext: A Prediction System for Web Requests using N-gram Sequence Models
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 1 - Volume 1
Web usage mining: discovery and application of interesting patterns from web data
Web usage mining: discovery and application of interesting patterns from web data
The design and evaluation of web prefetching and caching techniques
The design and evaluation of web prefetching and caching techniques
Characterizing Web Usage Regularities with Information Foraging Agents
IEEE Transactions on Knowledge and Data Engineering
An ontological multi-agent system for web services
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
Data & Knowledge Engineering
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
Mining personalization interest and navigation patterns on portal
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
An ontology-supported information management agent with solution integration and proxy
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
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Understanding and modeling user online behavior, as well as predicting future requests remain an open challenge for researchers, analysts and marketers. In this paper, we propose an efficient prediction schema based on the extraction of sequential navigation patterns from server log files, combined with web site topology. Traversed paths are monitored, internally recorded and cleaned before being completed with cashed page views. After session and episode identification follows the construction of n-grams. Prediction is based upon a 5 + n-gram schema with all lower level n-grams participating, a procedure that resembles the construction of an All 5th-order Markov Model. The schema achieves full coverage while maintaining competitive prediction precision.