An interview platform for library books based on the readers recommended purchase system

摘要

This paper illustrates and analyzes the current status of library book purchasing by carrying out a data search in universities, and finally concludes that the reader recommended purchase system is the most scientific way to interpret book interview data. Based on this system, a book interview platform built on J2EE and Web application programs is formulated, its matching terminal application is designed based on the Android system to facilitate college teachers and students' choices books and the extension of its functions and application range is explored.