Using web metrics to analyze digital libraries
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
Stochastic models for tabbed browsing
Proceedings of the 19th international conference on World wide web
Parallel browsing behavior on the web
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Towards tabbing aware recommendations
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
No search result left behind: branching behavior with browser tabs
Proceedings of the fifth ACM international conference on Web search and data mining
Facilitating parallel web browsing through multiple-page view
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Online multitasking and user engagement
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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The rapid growth of the Internet has pushed the research and development of web usage mining ever more into focus. Web usage mining and its applications have become critical to the business world. These analyses rest in turn on the ability to develop a clear understanding of the actions a user has taken. So far, the temporal order of clicks has been taken to be equal to the structural order of a session. With the advent of the newest browser generation where the use of multiple tabs has become a common feature, the above assumption does not necessarily hold any more. It is crucial to understand how the use of multiple tabs impacts on web usage mining, especially on the understanding of a session and its reconstruction. In order to analyze this new browsing behavior, we introduce a generic browsing model extending the traditional serial or single window model to cover the use of multiple tabs. Based on this model, we present and analyze an approach to detect use of multiple tabs within sessions. The existence and increasing prominence of the use of multiple tabs is shown by this approach to be of relevance to business analysis as well as research results.