Research on Mobile Library Interaction Design Based on User Behavior Data

With the rapid development of information technology, the popularity of intelligent media has been effectively promoted, but also with the new characteristics of complex user interaction and huge amounts of information, bringing new challenges to the design and optimization of their interaction behavior. Interaction design is dedicated to changing the content and structure of communication between interacting individuals, thereby incorporating the user’s needs and feedback into the system and realizing the various purposes. Good interaction design can reasonably guide the operative behavior of users and improve the user experience, and the effective mining and analysis of user behavior data can provide an important basis for interaction design adjustments. This study collects user behavior data in real-time with the help of front-end buried technology, studies the characteristics of user interaction behavior in detail, and visualizes them through click rate analysis, path analysis, and funnel model analysis. On this basis, we propose a mobile library interaction design optimization scheme, which provides new ideas and effective methods for the construction of the library mobile service ecosystem. At the same time, it provides valuable references for the cognitive understanding of user interaction in the intelligent media industry.