Research On Accurate Push Mechanisms of University Network Cultural Products Based on User Portrait

In the era of algorithm recommendation, the ideological and moral education, values education, and civic education of college students are facing challenges such as the marginalization of traditional media, information overload, diverse values, and personalization of educational subjects. In this new context, fully exploring the content of online cultural products and leveraging precise push mechanisms to enhance the ideological and moral education and values education of university students has become a critical issue for university educators. This paper proposes a method based on user portrait to optimize the precision push effect of university online cultural products, thereby achieving a new paradigm of high-quality online education. Firstly, a user portrait for university students is constructed, which emphasizes multichannel data collection and adds dimensions such as students' ideological and political attitudes, values, online behaviors, and cultural needs to provide data support for precise push mechanisms. Secondly, it innovates the integration of university online cultural products and explores the effective incorporation of excellent traditional Chinese culture. Finally, a comprehensive research framework is constructed to explore innovative approaches for precise push based on personalized recommendation algorithms.