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  • Open Access

    ARTICLE

    The Relationships between the Short Video Addiction, Self-Regulated Learning, and Learning Well-Being of Chinese Undergraduate Students

    Jian-Hong Ye1,2, Yuting Cui3,*, Li Wang4, Jhen-Ni Ye5

    International Journal of Mental Health Promotion, Vol.26, No.10, pp. 805-815, 2024, DOI:10.32604/ijmhp.2024.055814 - 31 October 2024

    Abstract Background: With the global popularity of short videos, particularly among young people, short video addiction has become a worrying phenomenon that poses significant risks to individual health and adaptability. Self-regulated learning (SRL) strategies are key factors in predicting learning outcomes. This study, based on the SRL theory, uses short video addiction as the independent variable, SRL strategies as the mediating variable, and learning well-being as the outcome variable, aiming to reveal the relationships among short video addiction, self-regulated learning, and learning well-being among Chinese college students. Methods: Using a cross-sectional study design and applying the… More >

  • Open Access

    ARTICLE

    Short Video Recommendation Algorithm Incorporating Temporal Contextual Information and User Context

    Weihua Liu1, Haoyang Wan2,*, Boyuan Yan2

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 239-258, 2023, DOI:10.32604/cmes.2022.022827 - 29 September 2022

    Abstract With the popularity of 5G and the rapid development of mobile terminals, an endless stream of short video software exists. Browsing short-form mobile video in fragmented time has become the mainstream of user’s life. Hence, designing an efficient short video recommendation method has become important for major network platforms to attract users and satisfy their requirements. Nevertheless, the explosive growth of data leads to the low efficiency of the algorithm, which fails to distill users’ points of interest on one hand effectively. On the other hand, integrating user preferences and the content of items urgently… More > Graphic Abstract

    Short Video Recommendation Algorithm Incorporating Temporal Contextual Information and User Context

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