01210nas a2200145 4500008004100000022001400041245005400055210005400109300001200163490000700175520079200182100002800974700001501002856004701017 2011 eng d a1559-166200aTowards Ubiquitous Computing with Call Prediction0 aTowards Ubiquitous Computing with Call Prediction a52–640 v153 a
With the long-awaited era of the pervasive computing approaches, the handheld devices such as personal mobile phones begin to evolve into ubiquitous computing devices. At this early stage of the evolution, we propose a model of a call predictor based on the naive Bayesian classifier. As an incoming call predictor, our model makes use of the userâs call history to generate a list of numbers/contacts that are the most likely to be the callers within the next hour. On the other hand, when the user wants to make an outgoing call (e.g., user flips open the phone or unlocks the phone, etc.), the outgoing call predictor generates a list of number/contacts to be called. Our model has been evaluated with the real-life call logs and it shows a promising result in accuracy.
1 aPhithakkitnukoon, Santi1 aDantu, Ram uhttp://doi.acm.org/10.1145/1978622.1978628