Personalisation of Telecommunications Services as Combinatorial Optimisation
Abstract
Modern feature-rich telecommunications services offer significant opportunities to human users. To make these services more usable, facilitating personalisation is very important. Such personalisation enhances the users ’ experience considerably. The Session Initiation Protocol and Distributed Feature Composition architecture allow users to select and compose telecommunications network applications or features. In this paper we view feature composition as a configuration problem. We model feature composition using a variety of combinatorial optimisation paradigms. In particular, we present and evaluate an approach to finding optimal reconfigurations of network features when the user’s preferences violate the technical constraints defined by a set of DFC rules.
Cite
Text
Lesaint et al. "Personalisation of Telecommunications Services as Combinatorial Optimisation." AAAI Conference on Artificial Intelligence, 2008.Markdown
[Lesaint et al. "Personalisation of Telecommunications Services as Combinatorial Optimisation." AAAI Conference on Artificial Intelligence, 2008.](https://mlanthology.org/aaai/2008/lesaint2008aaai-personalisation/)BibTeX
@inproceedings{lesaint2008aaai-personalisation,
title = {{Personalisation of Telecommunications Services as Combinatorial Optimisation}},
author = {Lesaint, David and Mehta, Deepak and O'Sullivan, Barry and Quesada, Luis and Wilson, Nic},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2008},
pages = {1693-1698},
url = {https://mlanthology.org/aaai/2008/lesaint2008aaai-personalisation/}
}