Application Suggestion on Mobile Devices through Adaptive Learning based on Date, Time, Day of Week, Location with Machine Learning (ML) and Artificial Intelligence (AI)

Application Suggestion on Mobile Devices through Adaptive Learning based on Date, Time, Day of Week, Location with Machine Learning (ML) and Artificial Intelligence (AI)

This invention relates to Machine Learning and Artificial Intelligence to analyze application usage behavior.
Suggestions on Mobile Devices help a user pick an application that is suggested through learning user behavior over time. Instead of picking out an application out of all applications on the mobile device, our invention is to limit the applications and help user to choose the application based on usage behavior for location, day-of-week, time and usage. There are applications already out there that are used to speed up the process of identifying and suggesting applications which are recently used by a particular user. Our idea takes one step forward and provide application suggestions by learning user behavior based on location, day-of-week and time employing Machine Learning (ML). Our idea is basically inspired by recommender systems. We will suggest applications based on location, day-of-week and time of day. Through learning behavior of user our system will assess the context and suggest applications that are most probably picked up by a user on their mobile devices.


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