Research on information retrieval and knowledge discovery in future learning center with virtual reality technology.

The article focuses on the development and evaluation of an information retrieval and knowledge discovery system for future learning centers using virtual reality (VR) technology combined with the K-means clustering algorithm. By collecting and analyzing students' behavioral data within a VR-based virtual learning environment, the system creates personalized student profiles and employs a vector space model for document-query matching to enhance retrieval accuracy and speed. The study reports a retrieval accuracy of 93%, an average system response time of 2.5 seconds, and improved user experience compared to traditional learning environments. Additionally, the personalized recommendation process based on user interest profiles demonstrates higher efficiency in knowledge discovery tasks. Limitations include a small sample size and the need for further optimization of recommendation algorithms and data analysis methods.