Predicting Mobile Application Ratings Using Artificial Neural Network

被引：0
|
作者：
Raje, Mehul Smriti [1 ]
机构：
[1] Manipal Inst Technol, Dept Comp Sci & Engn, Manipal 576104, Karnataka, India
来源：
PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR 2016) | 2018年 / 614卷
关键词：
Neural networks; Mobile applications; Application ratings;
D O I：
10.1007/978-3-319-60618-7_9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents and evaluates neural network models for predicting the ratings of mobile applications. It is shown that the information available to the developer at the time of releasing the application alone, can be used to make the predictions. The results of evaluation of 50,000 applications, available on a popular application store, is reported. It is seen that the prediction accuracy varies from 58.15% to 93.5% for different cases.
引用
收藏
页码：86 / 93
页数：8
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