Mobile Web User Behavior Modeling

Models of mobile web user behavior have broad applicability in fields such as mobile network optimization, mobile web content recommendation, collective behavior analysis, and human dynamics. This paper proposes and evaluates URI model, a novel approach to analyze user mobile Web usage behavior, which combines user interest modeling with location analysis. The URI model takes as input mobile user web logs associated with coarse-grained location drawn from real data, such as Event Detail Records(EDRs) from a cellular telephone network. We use probabilistic topic modeling to discover latent user interest from user mobile Web usage log. We validated the URI model against billions of mobile web logs for millions of cellular phones in Beijing metropolitan areas. Experiments show that the URI model achieves a good performance, and offers significantly high fidelity.