App Recommendation System using Machine Learn...

App Recommendation System using Machine Learning

Author Name : Ponnamma M U, Rampur Srinath

ABSTRACT

With the growing number of mobile Apps developed, they are now being increasingly interwoven into daily life. App usage prediction, or predicting which apps will be used next, is extremely beneficial for smartphone system optimisation, including operating system resource management, battery energy consumption optimisation, and user experience enhancement. However, achieving great accuracy in usage forecasts remains difficult. In this research, we provide a variety of frameworks for predicting mobile Apps that are most likely to be used based on a smartphone's current device condition. Such an Apps usage prediction system is a necessary prerequisite for rapid App launching, intelligent user experience, and smartphone battery management. In this Paper, we also provide a detailed evaluation of the most recent studies on smartphone app usage analysis. All of this has serious consequences for all key stakeholders, including academia and industry. We used the logistic regression model to propose mobile apps depending on the user's gender.

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