Maintaining state transition data for a plurality of users, modeling, detecting, and predicting user states and behavior
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United States of America Patent
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May 10, 2011
Grant Date -
Jun 25, 2009
app pub date -
Dec 21, 2007
filing date -
Dec 21, 2007
priority date (Note) -
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Abstract
Mechanisms model, detect, and predict user behavior as a user navigates the Web. In one embodiment, mechanisms model user behavior using predictive models, such as discrete Markov processes, where the user's behavior transitions between a finite number of states. The user's behavior state may not be directly observable (e.g., a user does not proactively indicate what behavior state he is in). Thus, the behavior state of a user is usually only indirectly observable. Mechanisms use predictive models, such as hidden Markov models, to predict the transitions in the user's behavior states.
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