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- W2109489782 abstract "We present a model of tabbed browsing that represents a hybrid between a Markov process capturing the graph of hyperlinks, and a branching process capturing the birth and death of tabs. We present a mathematical criterion to characterize whether the process has a steady state independent of initial conditions, and we show how to characterize the limiting behavior in both cases. We perform a series of experiments to compare our tabbed browsing model with pagerank, and show that tabbed browsing is able to explain 15-25% of the deviation between actual measured browsing behavior and the behavior predicted by the simple pagerank model. We find this to be a surprising result, as the tabbed browsing model does not make use of any notion of site popularity, but simply captures deviations in user likelihood to open and close tabs from a particular node in the graph." @default.
- W2109489782 created "2016-06-24" @default.
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- W2109489782 date "2010-04-26" @default.
- W2109489782 modified "2023-10-18" @default.
- W2109489782 title "Stochastic models for tabbed browsing" @default.
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- W2109489782 doi "https://doi.org/10.1145/1772690.1772716" @default.
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