Patterns of search: analyzing and modeling Web query refinement
UM '99 Proceedings of the seventh international conference on User modeling
Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
Improving mobile internet usability
Proceedings of the 10th international conference on World Wide Web
Adaptive interfaces for ubiquitous web access
Communications of the ACM - The Adaptive Web
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
The Plight of the Navigator: Solving the Navigation Problem for Wireless Portals
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Rhythm modeling, visualizations and applications
Proceedings of the 16th annual ACM symposium on User interface software and technology
Hourly analysis of a very large topically categorized web query log
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Predicting navigation patterns on the mobile-internet using time of the week
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Time Based Segmentation of Log Data for User Navigation Prediction in Personalization
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Mobile web surfing is the same as web surfing
Communications of the ACM - Self managed systems
Time based patterns in mobile-internet surfing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Adaptive web navigation for wireless devices
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Coordinate: probabilistic forecasting of presence and availability
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
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Numerous systems attempt to predict user navigation on the Internet through the use of past behavior, preferences and environmental factors. However many of these models have shortcomings, in that they do not take into account that browsers may have several different sets of preferences. Here we investigate time as an environmental factor in predicting user navigation in the Internet. We present methods for creating temporal rules that describe user navigation patterns. We also show the advantage of using these rules to predict user navigation and also illustrate the benefits of these models over traditional methods. An analysis is carried out on a sample of usage logs for Wireless Application Protocol (WAP) browsing, and the results of this analysis verify our theory.