Identifying Recent Behavioral Data Length in Mobile Phone Log
Abstract
Mobile phone log data (e.g., phone call log) is not static as it is progressively added to day-by-day according to individ- ual's diverse behaviors with mobile phones. Since human behavior changes over time, the most recent pattern is more interesting and significant than older ones for predicting in- dividual's behavior. The goal of this poster paper is to iden- tify the recent behavioral data length dynamically from the entire phone log for recency-based behavior modeling. To the best of our knowledge, this is the first dynamic recent log-based study that takes into account individual's recent behavioral patterns for modeling their phone call behaviors.
Cite
@article{arxiv.1711.06837,
title = {Identifying Recent Behavioral Data Length in Mobile Phone Log},
author = {Iqbal H. Sarker and Muhammad Ashad Kabir and Alan Colman and Jun Han},
journal= {arXiv preprint arXiv:1711.06837},
year = {2017}
}
Comments
14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2017), Melbourne, Australia