A User Behavior Perception Model Based on Markov Process

Nowadays user behavior perception becomes more and more important in scientific experiments and people's daily lives, especially in mobile services. This paper presents a model which can be used to perceive user's behavior on intelligent mobile terminals based on Markov process. The model combines the syntax model and the probability transition model, and introduces also other parameters like weight. It can perceive users behavior through different kinds of contexts, such as users' reading history. According to the perceived behavior, the model can better perceive the user's behavior, and therefore allows better mobiles services experiences to users. A system architecture based on the presented model has been introduced and implemented, and a verification method of the model has also been given.

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