• DocumentCode
    2942043
  • Title

    Quantifying the Presence of Phone Users

  • Author

    Huiqi Zhang ; Dantu, R.

  • Author_Institution
    North Texas Univ., Denton
  • fYear
    2008
  • fDate
    10-12 Jan. 2008
  • Firstpage
    883
  • Lastpage
    887
  • Abstract
    Presence-enabled telephony services can reduce telephone tag and improve customer satisfaction. In this paper we proposed the Bayesian inference model to calculate the willingness level of the callee to accept calls. Before making a call, the caller may use the willingness calculator to find out whether the callee is available. Based on this level the user can make a decision whether to make a call. For validation of our results, we used actual call logs of 100 users collected at MIT by the Reality Mining Project group for a period of 8 months. We used time of the day, day of the week, talk-time and location for calculating the willingness level Our results show a good agreement between computed willingness level and the number of missed/rejected calls. This service can be included as part of the presence server. When deployed, this service can increase productivity, avoid unwanted calls and reduce the call traffic congestion. This service is beneficial to both subscribers and phone service providers. However, in order to make this service a reality, we need to take into account other factors such social closeness, proximity, multiplexity and reputation of the caller.
  • Keywords
    Bayes methods; customer satisfaction; telecommunication congestion control; telecommunication traffic; telephony; Bayesian inference model; call traffic congestion; customer satisfaction; phone service provider; presence-enabled telephony service; willingness calculator; Bayesian methods; Computer science; Context; Customer satisfaction; Multimedia communication; Multimedia systems; Network servers; Productivity; Roads; Telephony;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference, 2008. CCNC 2008. 5th IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-1456-7
  • Electronic_ISBN
    978-1-4244-1457-4
  • Type

    conf

  • DOI
    10.1109/ccnc08.2007.206
  • Filename
    4446504