Advertisement
Published in:
2014 | OriginalPaper | Chapter
Mobile Web User Behavior Modeling
Authors : Bozhi Yuan, Bin Xu, Chao Wu, Yuanchao Ma
Published in: Web Information Systems Engineering – WISE 2014
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.