Characterizing browsing strategies in the World-Wide Web
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
Revisitation patterns in World Wide Web navigation
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis
INFORMS Journal on Computing
Web User Session Reconstruction Using Integer Programming
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Adaptive Web Sites: A Knowledge Extraction from Web Data Approach - Volume 170 Frontiers in Artificial Intelligence and Applications
Discovering better navigation sequences for the session construction problem
Data & Knowledge Engineering
Identifying web sessions with simulated annealing
Expert Systems with Applications: An International Journal
Identifying user sessions from web server logs with integer programming
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
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A web user session, the sequence of pages a user visits at a web site, is valuable data used in many e-business applications but privacy concerns often limit their direct retrieval. A web server log file provides an approximate way of constucting user sessions without privacy concerns. It is only approximate because the same IP address as recorded in the web log often contains the requests of several concurrent users without each user being uniquely identified. Additionally, a user's activation of the back and forward browser button is often not recorded in the web log because, in most cases, the browser retrieves the page from its own cache. We present an integer program to construct user sessions (sessionization) from web log data that includes the possible use of the back button. We present sessionization results on web log data from an academic web site and compare sessions constructed with and without the option of sessions with the back button.