Research on Library Digital Resource Evaluation System Based on Computer Multimedia Aid
With the continuous increase in the total amount of library digital resource services, issues such as digital resources and performance evaluation have gradually attracted the attention of libraries. Traditionally, digital resource providers provide statistical data. However, due to benefits, the accuracy and authenticity of the data are open to question. Taking a particular university library as an example, the paper analyzes the information log of users accessing digital resources to obtain user information needs. It uses big data mining technology to extract user information needs and preferences, forming a trend map of user needs and digital resources matching. The study found that the system can provide an auxiliary decision making basis for subsequent purchases, provide data support for the evaluation of digital resource management in colleges and universities, and provide a scientific management model for the digital resource construction service system close to user experience.
2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)