Abstract
Value added services are based on user context awareness. Important context aspect is location, which could be extended to future locations if services had the ability to predict movement. We propose a model for user movement prediction based on traffic topology. Benefits of the model are presented on example service, while the performance is evaluated on real user movement data.
This work was carried out within the research projects “Content Delivery and Mobility of Users and Services in New Generation Networks” and “Knowledge-based network and service management”, supported by the Ministry of Science, Education and Sports of the Republic of Croatia.
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Vukovic, M., Jevtic, D., Lovrek, I. (2011). User Movement Prediction Based on Traffic Topology for Value Added Services. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6881. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23851-2_37
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DOI: https://doi.org/10.1007/978-3-642-23851-2_37
Publisher Name: Springer, Berlin, Heidelberg
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