WebMate: a personal agent for browsing and searching
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Using path profiles to predict HTTP requests
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Link prediction and path analysis using Markov chains
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Broadway, A Case-Based Browsing Advisor for the Web
ECDL '98 Proceedings of the Second European Conference on Research and Advanced Technology for Digital Libraries
Using Markov Chains for Link Prediction in Adaptive Web Sites
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
Relational Markov models and their application to adaptive web navigation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Model-Based Clustering and Visualization of Navigation Patterns on a Web Site
Data Mining and Knowledge Discovery
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Generating dynamic higher-order markov models in web usage mining
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
CARSA – an architecture for the development of context adaptive retrieval systems
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
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In this paper, we present the system “DAWN” (direction anticipation in web navigation) that learns navigational patterns to help users navigating through the world wide web. We motivate the purpose of such a system and the approach taken and point out relations to other approaches. Further, we briefly outline the architecture of the system and focus on the prediction model and the algorithm for link recommendation. Evaluation on real-world data gave promising results.