Exploring the Evolution of New Mobile Services

Joint Authors

Jin, Hai
Chen, Yong
Yao, Juncheng
He, Chunjiang
Chen, Hanhua

Source

Scientific Programming

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-04-06

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Mathematics

Abstract EN

The emergence and widespread use of mobile Internet technology has led to many different kinds of new mobile communications services, such as WeChat.

Users could have more choices when attempting to satisfy their communications needs.

The ability to predict the way in which users will use new mobile communications services is extremely valuable to mobile communications service providers.

In this work, we propose a method for predicting how a user will use a new mobile service.

Our scheme is inspired by the evolutionary game theory.

With large-scale real world datasets collected from mobile service providers, we first extract the benefit-related features for users who were starting to use a new mobile service.

Then we design our training and prediction methods for predicting potential users.

We evaluate our scheme using experiments with large-scale real data.

The results show that our approach can predict users’ future behavior with satisfying accuracy.

American Psychological Association (APA)

Chen, Yong& Yao, Juncheng& Jin, Hai& He, Chunjiang& Chen, Hanhua. 2017. Exploring the Evolution of New Mobile Services. Scientific Programming،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1203435

Modern Language Association (MLA)

Chen, Yong…[et al.]. Exploring the Evolution of New Mobile Services. Scientific Programming No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1203435

American Medical Association (AMA)

Chen, Yong& Yao, Juncheng& Jin, Hai& He, Chunjiang& Chen, Hanhua. Exploring the Evolution of New Mobile Services. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1203435

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1203435