Abstract
Predicting future calls can be the next advanced feature of the intelligent phone as the phone service providers are looking to offer new services to their customers. Call prediction can be useful to many applications such as planning daily schedule and attending unwanted communications (e.g. voice spam). Predicting calls is a very challenging task. We believe that this is a new area of research. In this paper, we propose a Call Predictor (CP) that computes the probability of receiving calls and makes call prediction based on caller’s behavior and reciprocity. The proposed call predictor is tested with the actual call logs. The experimental results show that the call predictor performs reasonably well with false positive rate of 2.4416%, false negative rate of 2.9191%, and error rate of 5.3606%.
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© 2007 IFIP International Federation for Information Processing
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Phithakkitnukoon, S., Dantu, R. (2007). Predicting Calls – New Service for an Intelligent Phone. In: Krishnaswamy, D., Pfeifer, T., Raz, D. (eds) Real-Time Mobile Multimedia Services. MMNS 2007. Lecture Notes in Computer Science, vol 4787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75869-3_3
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DOI: https://doi.org/10.1007/978-3-540-75869-3_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75868-6
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