HUMAN WEB BEHAVIOR MINING
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida · 2007
Extraction, synthesis, and analysis of human behavior in electronic environments are of central importance in web behavior mining, user modeling, personalization, and recommender systems. We present a novel framework for elucidating human dynamics in electronic environments. It efficiently captures the spatiotemporal dimensions of human interactions, and enables the extraction and analysis of the elemental and complex browsing patterns. The framework was applied to exploration of knowledge worker browsing behavior on a large corporate intranet. Significant tendency to form repetitive elemental and complex browsing patterns has been revealed. Knowledge workers exhibited diminutive exploratory behavior and underutilization of available resources. All analyzed aspects of browsing behavior displayed evident long tail characteristics.