Abstract
Web 2.0 has emerged as the business ideology and development paradigm for the next generation of web applications. This paper proposes the use of personalisation techniques to enhance the functionality of web mashups, one of the most popular Web 2.0 applications. A prototype of a personalised travel assistant which combines interactive maps with public data pulled from the Internet is presented. An experimental study with the prototype points at opportunities and challenges mashups bring to personalisation research.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Thang Dang, M.: Personalisation meets web 2.0 through web services: A case study in GIS. Technical report, MSc Dissertation, School of Computing, Leeds University, UK (2006)
Jameson, A.: The Human-Computer Interaction Handbook. Fundamentals, Evolving Technologies and Emerging Applications, chapter Adaptive Interfaces and Agents. Lawrence Erlbaum Associates, Publishers (2003)
Jhingran, A.: Enterprise information mashups: integrating information, simply. In: VLDB ’06: Proceedings of the 32nd international conference on Very large data bases, pp. 3–4, VLDB Endowment (2006)
Krueger, A., Baus, J., Heckmann, D., Kruppa, M., Wasinger, R.: The adaptive web: Methods and strategies of web personalization. In: chapter Web-based mobile guides, Springer, Heidelberg (2006)
Murthy, S., Maier, D., Delcambre, L.: Mash-o-matic. In: DocEng 2006: Proceedings of the 2006 ACM symposium on Document engineering, pp. 205–214. ACM Press, New York (2006)
Rinner, C., Raubal, M.: Personalized multi-criteria decision strategies in location-based decision support. Journal of Geographic Information Sciences 2, 149–156 (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Thang, M.D., Dimitrova, V., Djemame, K. (2007). Personalised Mashups: Opportunities and Challenges for User Modelling. In: Conati, C., McCoy, K., Paliouras, G. (eds) User Modeling 2007. UM 2007. Lecture Notes in Computer Science(), vol 4511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73078-1_56
Download citation
DOI: https://doi.org/10.1007/978-3-540-73078-1_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73077-4
Online ISBN: 978-3-540-73078-1
eBook Packages: Computer ScienceComputer Science (R0)