Unsupervised learning approach to estimating user engagement with mobile applications: A case study of The Weather Company (IBM)

作者：

Highlights：

• A general metric for measuring user engagement with mobile applications.

• The fluctuations of the metric score are characterized with a power-law decrease.

• The results are in accordance with the power law of practice.

• The lower dimensional distance between variables loadings is used to map engagement motivations.

摘要

•A general metric for measuring user engagement with mobile applications.•The fluctuations of the metric score are characterized with a power-law decrease.•The results are in accordance with the power law of practice.•The lower dimensional distance between variables loadings is used to map engagement motivations.

论文关键词：User engagement (UE),Mobile applications,Principal component analysis (PCA),Explained variance decrease,Power law of practice,Multidimensional scaling distance (MDS)

论文评审过程：Received 13 August 2018, Revised 2 November 2018, Accepted 27 November 2018, Available online 28 November 2018, Version of Record 6 December 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.11.037