Comparison of machine learning algorithms used to catalog Google Appstore

Abstract

Background: Google Play Store is a popular Android app store where users’ reviews and ratings provide valuable insights. As part of application development, clients and app designers have a significant impact on the market. Accurately predicting market trends is critical to the success of applications, and this is where information mining comes in. By evaluating various factors such as application name, pricing, reviews, and category, we can predict which types of apps are most likely to be successful.