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MODELING, DETECTING, AND PREDICTING USER BEHAVIOR WITH HIDDEN MARKOV MODELS
MODELING, DETECTING, AND PREDICTING USER BEHAVIOR WITH HIDDEN MARKOV MODELS
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机译:使用隐藏的马尔可夫模型建模,检测和预测用户行为
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摘要
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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