The research on user interest model based on quantization browsing behavior

The constructing and updating of user interest model, determines the accuracy of the user information representation, and directly influences the service quality for the users. This paper will show you by introducing some browsing action data into user interest model updating strategy, carrying on the experiment by using the designed system, and obtaining the reasonable values of browsing behavior parameters with an adaptive method. In the end, a demonstration is given to compare with common model through the experiment and prove the feasibility and suitability of this model.