Structural analysis of user choices for mobile app recommendation

摘要

Mobile apps are rapidly evolving due to ongoing improvements in smartphone technology. However, the use of mobile devices introduces some obstacles for rookie users. How should novice users locate suitable apps from a hierarchy of apps to accomplish different tasks? How should rival mobile apps with comparable operational services be effectively recommended to users? In efforts to improve app recommendation based on the interests and proclivities of users, Liu and colleagues present a structural user choice model (SUCM) for ascertaining the well-organized classification and viable associations between apps.