Factors Influencing Book Selection

[Purpose/Significance] Smart library represents a future development direction and an innovation mode for the library world. This article attempts to explore the intelligent transformation of English book acquisition work in public libraries. [Method/Process] This article constructs a book selection decision-making indicators system for English book selection in public libraries. Logistic Regression, Decision Tree, Support Vector Machine (SVM), and Multilayer Perceptron (MLP) are conducted in order to find the best book selection forecasting model. Then taking a large public library in Shanghai for example, it reveals the key indicators influencing the book selection, predicts the potential value of books, and provides a new perspective for the collection construction of English books under the background of developing smart library. [Result/Conclusion] By supporting librarians in making more scientific decisions, it can enhance the quality of library collection resources as a new approach to the intellectualized development of English book collections in public libraries.