Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules in Large Databases. In: Proceedings of the 20th International Conference on Very Large Databases, VLDB 1994, pp. 487–499 (1994)
Anderson, C.R., Domingos, P., Weld, D.S.: Adaptive Web Navigation for Wireless Devices. In: Proceedings of the 17th International Joint Conference on Artificial Intelligence, IJCAI 2001, pp. 879 – 884 (2001)
Begole, J., Tang, J.C., Hill, R.: Rhythm Modeling, Visulizations and Applications. In: Proceedings of the 16th Annual ACM Symposium on User Interface Software and Technology, UIST 2003, pp. 11–20 (2003)
Beitzel, S.M., Jensen, E.C., Chowdhury, A., Grossman, D., Frieder, O.: Hourly analysis of a very large topically categorized web query log. In: Proceedings of the 27th Annual ACM Conference SIGIR 2004, pp. 321–328 (2004)
Billsus, D., Brunk, C., Evans, C., Gladish, B., Pazzani, M.J.: Adaptive Interfaces for Ubiquitous Web Access. Communications of the ACM 45(4), 34–38 (2002)
Buchanan, G., Farrant, S., Jones, M., Thimleby, H.W., Marsden, G., Pazzani, M.J.: Improving Mobile Internet Usability. In: Proceedings of the 10th World Wide Web Conference, WWW 2001, pp. 673–680 (2001)
Halvey, M., Keane, M.T., Smyth, B.: Predicting Navigation Patterns on the Mobile-Internet Using Time of the Week, WWW (Special Interest Tracks and Posters), pp. 958–959 (2005)
Halvey, M., Keane, M.T., Smyth, B.: Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files. In: Perner, P., Imiya, A. (eds.) MLDM 2005. LNCS (LNAI), vol. 3587, pp. 174–183. Springer, Heidelberg (2005)
Halvey, M., Keane, M.T., Smyth, B.: Time Based Segmentation of Log Data for User Navigation Prediction in Personalization. In: Proceedings of the 3rd International Conference on Web Intelligence, WI 2005, pp. 636–641 (2005)
Halvey, M., Keane, M.T., Smyth, B.: Mobile Web Surfing is the same as Web Surfing. Communications of the ACM 49(3), 76–81
Halvey, M., Keane, M.T., Smyth, B.: Time Based Patterns in Mobile-Internet Surfing. In: Proceedings of CHI 2006 (accepted) (in press, 2006)
Horvitz, E., Koch, P., Kadie, C.M., Jacobs, A.: Coordinates: Probabililistic Forecasting of Presence and Availability. In: Proceedings of the 18th Conference in Uncertainty in Artificial Intelligence, UAI 2002, pp. 224–233 (2002)
Lau, T., Horvitz, E.: Patterns of Search: Analyzing and Modeling web Query Refinement. In: Proceedings of the 7th International Conference on User Modeling, UM 1999, pp. 119–128 (1999)
Perkowitz, M., Etzioni, O.: Towards Adaptive Web Sites: Conceptual Framework and Case Study. Artificial Intelligence 118(1-2), 245–275
Pirolli, P.: Distributions of Surfers’ Paths through the World Wide Web: Empirical Characterizations. The Web Journal 2, 29–45 (1998)
Ramsay, M., Nielsen, J.: Nielsen Report: WAP Usability Deja Vu: 1994 All Over Again (2000)
Smyth, B., Cotter, P.: The Plight of the Navigator: Solving the Navigation Problem for Wireless Portals, AH 2000, 328–227 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Halvey, M., Keane, M.T., Smyth, B. (2006). Temporal Rules for Predicting User Navigation in the Mobile Web. In: Wade, V.P., Ashman, H., Smyth, B. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2006. Lecture Notes in Computer Science, vol 4018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11768012_13
Download citation
DOI: https://doi.org/10.1007/11768012_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34696-8
Online ISBN: 978-3-540-34697-5
eBook Packages: Computer ScienceComputer Science (R0)