An Empirical Study on User Experience in Short-Video Recommendation Systems: The Role of Personalization and Engagement

This dataset contains the results of an empirical study investigating user experience in short-video recommendation systems, specifically examining the influence of personalization and engagement variables. The data consists of 37 structured questionnaire responses collected from users, featuring a 5-point Likert scale across three primary dimensions: personalization (X1), engagement (X2), and the resulting user experience (Y), covering 15 survey items in total. The repository also includes supplemental PLS-SEM algorithmic outputs and bootstrapping results derived from this sample, providing a comprehensive foundation for structural equation modeling analysis.