基于AI画像的高校贫困生自卑心理图书馆阅读疗法书目精准推荐研究

This article focuses on the issue of inferiority complex among impoverished college students and explores how to utilize AI profiling technology to achieve precise recommendation of reading therapy books. By analyzing the manifestation characteristics and formation mechanism of inferiority complex among impoverished students, combined with the working principle of reading therapy, a personalized recommendation model covering multi-dimensional data collection, dynamic tag system, intelligent matching algorithm and feedback optimization mechanism was constructed. This research aims to provide scientific and precise intervention methods for mental health education of impoverished students, enrich the application practice of "AI+ mental health "in the field of education, and offer new ideas for expanding new directions of university library services and mental health service work in universities.