Apply user behavior analysis to show readers their behavior trajectory. It shows the time of visiting the library for the first time, the books borrowed for the first time, the books retrieved for the first time, the documents downloaded for the first time, the number of books borrowed, the number of documents downloaded, the times of visiting the library, the books reserved, the books borrowed, and the number of people borrowing these books at the same time. Look at your footprints, keep them as a souvenir, and feel the course of your study and research. Picture books can be used to increase the attraction, so as to better publicize the library and attract more readers. At the same time, through these borrowing situations, we can find out what kind of talents readers belong to.

2. One recommendation a day

Through the analysis of readers' behavior, we can predict readers' hobbies, recommend a popular book or new book to readers every day, and add online book reviews and reasons for recommendation, so that readers can know the main contents of books at the first time and choose whether to read them. If readers are willing to read, they can collect them, and the library personalization system will make purchases or recommend purchase methods according to readers' collections. In addition, according to the researchers' recent project content or research direction and the writing of graduate papers, we can recommend relevant documents for readers' reference.