Research on Web QoS Control Strategy Based on User Behaviour

This paper proposes a new Web QoS control strategy based on user behavior. Web QoS control strategy mainly include request classification, admission control, content adaptation technologies. The approach we take to Web QoS control first analyzes user access factors in request classification, admission control, and content self-adaptive strategies of Web QoS control mechanism, and then proposes user classification and content classification based on behavior analysis. In user classification, we take KNN algorithm to classify users´ click-stream sequence, and experiment results show that our method can achieve satisfactory effect of classification.