Using Association Mining to Improve Navigation Design in Online Lesson Mobile Application

A navigation controller is a tool for navigating between pages in mobile applications. It would be valuable to identify interesting relationships between pages that frequently occur together. This paper proposes association mining to extract relationships among mobile pages from the navigation model of mobile applications, i.e., Online Lesson mobile applications. The navigation model contains both forward and backward edges. Initially, we simulate user behavior to generate navigation paths for the mobile application. We then mine relationships among mobile pages using the FP-Growth algorithm. Finally, we create association shortcuts based on these frequent relationships. It allows users to quickly navigate to their desired mobile pages. In addition, the usability and satisfaction of the Online Lesson mobile application were tested by experts. Experimental results show that the user interface of the improved version is easy to use and navigate efficiently.