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CPL: Enhancing Mobile Phone Functionality by Call Predicted List

  • Conference paper
On the Move to Meaningful Internet Systems: OTM 2008 Workshops (OTM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5333))

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Abstract

In this paper, we present a concept of a new advanced feature for a mobile phone that provides its user functionality for predicting future calls. The feature is envisaged as a Call Predicted List (CPL) which makes use of the user’s call history to build a probabilistic model of calling behavior based on the caller’s calling patterns and reciprocity. The calling behavior model is then used to generate a list of numbers/contacts that are the most likely to be callers in the next hour. The performance of the CPL is evaluated with the real-life call logs and it shows promising results in accuracy.

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References

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Author information

Authors and Affiliations

  1. Dept. of Comp. Sci. & Eng., University of North Texas, Denton, TX 76203, USA

    Santi Phithakkitnukoon & Ram Dantu

Authors
  1. Santi Phithakkitnukoon
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  2. Ram Dantu
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Editor information

Editors and Affiliations

  1. STARLab, Vrije Universiteit Brussel (VUB),, Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, VIC 3001, Melbourne, Australia

    Zahir Tari

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, Boadilla del Monte, 28660, Madrid, Spain

    Pilar Herrero

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© 2008 Springer-Verlag Berlin Heidelberg

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Phithakkitnukoon, S., Dantu, R. (2008). CPL: Enhancing Mobile Phone Functionality by Call Predicted List. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2008 Workshops. OTM 2008. Lecture Notes in Computer Science, vol 5333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88875-8_80

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  • DOI: https://doi.org/10.1007/978-3-540-88875-8_80

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88874-1

  • Online ISBN: 978-3-540-88875-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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