Research on the Analysis and Prediction Model Building of Mobile User Behaviors

DOI

10.2991/iccmcee-15.2015.129How to use a DOI?

Keywords

mobile user behaviors; decision tree; personalized; behavior prediction

Abstract

The personalized user operation is the mainstream of the mobile application development in the future, which is based on the accurate prediction for mobile user behaviors. Currently, the mobile applications cannot provide specific mobile application operating procedures according to the behavioral characteristics of different users, resulting in inferior user experience for the mobile applications. The lack of personalized experience may affect the mobile user experience for mobile applications and services. This paper proposed a method to build a decision tree-based model to predict user behaviors. Results shows, this method could greatly improve the accuracy and reliability of the prediction during the construction of analysis model based on the mobile users’ behavior.. It is conducive to achieving the personalized customization of mobile applications. It can promote the power of competition in the marketing of enterprises.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haiyan Luo
AU  - Yong Yang
AU  - Jue Wang
AU  - Hailong Yu
PY  - 2015/11
DA  - 2015/11
TI  - Research on the Analysis and Prediction Model Building of Mobile User Behaviors
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 714
EP  - 718
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.129
DO  - 10.2991/iccmcee-15.2015.129
ID  - Luo2015/11
ER  -