Identifying Recent Behavioral Data Length in Mobile Phone Log

Mobile phone log data (e.g., phone call log) is not static as it is progressively added to day-by-day according to individual’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 individual’s behavior. The goal of this poster paper is to identify 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. CCS Concepts •Information systems→Mobile information processing systems;