Context-Aware Mobile Recommender System Based on Activity Patterns
Nelson Mendes, Bruno Alves, Sara Paiva · 2016
Mobile recommendation is a field of active research considering the importance mobile devices assume in our daily lives. In this paper we propose a solution - android widget - that recommends apps, calls and SMS's to the user, depending on the day/hour of the week and also based on the past behavioral pattern of user activity. The recommendations can be extremely helpful for the user that finds information quicker and effortless.