QoE Prediction Model with Personalized Parameters in IPTV Domain

With the rapid development of multimedia services, such as Internet Protocol Television (IPTV), Quality of Experience (QoE) has increasingly attracted the attention of service providers. In this paper, we propose a QoE prediction model to map users QoE, which combines IPTV viewing records and personalized parameters. We simplify the model by identifying the effective features through data mining technology. The simulations demonstrate that the proposed model can achieve high accuracy of QoE prediction.