Research on user satisfaction of mobile short video based on rough set
Keyao Yu, Zhang Liangcheng, Shanliang Yang · 2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) · 2022
With the continuous development and upgrade of information technology, the mobile short video has gradually become the source of generating information, entertainment, and online shopping on our smartphones. In the article, we build evaluation indicators based on the consumer satisfaction theory to construct a system of user satisfaction evaluation. Meanwhile, conducting a sample survey on the popular mobile short video users on the Internet to collect data using a random online questionnaire. Then, use the rough set to reduce the system and determine the weight, eliminating the subjectivity of the weight setting of the traditional method. Finally, a fuzzy comprehensive evaluation model is established to calculate the total score of user satisfaction of mobile short videos. It improves the authenticity, reliability and accuracy of the results of this study. Based on the research on mobile short video user satisfaction, we propose practical suggestions for developing mobile Internet to promote the short video based on user needs. Then, increase user stickiness and user scale so that mobile short videos will have better development in the future. The advantage of this model is to further optimize the rough set applied to the complex evaluation system. By simplifying the indexes and determining the weights of each index according to the importance of the influential factors, the evaluation results are generally consistent with the original system, which is not only objective and accurate, but also more feasible and meaningful in many complex index systems.