Predicting android app success before google play store launch using machine learning
The Google Play Store serves as a pivotal platform for Android app developers, drawing millions of users globally. With an overwhelming influx of new apps introduced daily, developers are faced with the critical challenge of sustaining market share amidst fierce competition. Predicting an app’s succ...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
Elsevier
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42620/ http://umpir.ump.edu.my/id/eprint/42620/1/Predicting%20android%20app%20success%20before%20google%20play%20store%20launch%20using%20machine%20learning_ABST.pdf http://umpir.ump.edu.my/id/eprint/42620/2/Predicting%20android%20app%20success%20before%20google%20play%20store%20launch%20using%20machine%20learning.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/42620/http://umpir.ump.edu.my/id/eprint/42620/1/Predicting%20android%20app%20success%20before%20google%20play%20store%20launch%20using%20machine%20learning_ABST.pdf
http://umpir.ump.edu.my/id/eprint/42620/2/Predicting%20android%20app%20success%20before%20google%20play%20store%20launch%20using%20machine%20learning.pdf