Issues List
1 Jul 01, 2024
An Efficient Machine Learning Technique for Rating Prediction Of Google Play Store Apps

The vast landscape of mobile applications, user ratings play a crucial role in determining an app's success and popularity. Predicting these ratings accurately not only aids users in making informed decisions but also assists developers in improving their apps. This paper presents an efficient machine learning technique tailored for rating prediction of Google Play Store apps. Our approach leverages a combination of advanced machine learning algorithms, feature analysis, and data pre-processing methods to achieve robust performance. Simulation results shows that the effectiveness of proposed technique through extensive experimentation on datasets, showcasing its ability to accurately forecast app ratings....

Authors: Veena Vadinee Raikwar, Prof. Mahendra Sahare, Prof. Anurag Shrivastava.


  • Calling Papers For Volume 13, Issue 4 Last Deadline For Paper Submission 22-July-2023 Posted by Admin Posted by Admin.