In video streaming service, the user's Quality of Experience (QoE) is not only related with video signal quality, also user's interest for a video content must be considered. In this context, this work proposes a video quality assessment method that takes into account the user preference for video content. In order to perform this task, the users' profiles that include their preferences are saved in the video content provider platform. We conducted subjective tests, in which evaluators had different content preferences. Results show that evaluators' QoE is highly correlated with the user's preference for video content type. Based on these results, different correction factors are defined, which are used to adjust the quality index values obtained by a video quality objective metric running in the end user's device. Furthermore, a network architecture solution is presented, in which the proposed video quality assessment methodology is implemented. © 2014 IEEE.