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

•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 engagemen...

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Veröffentlicht in:	Expert systems with applications 2019-04, Vol.120, p.397-412
Hauptverfasser:	Turgeman, Lior, Smart, Otis, Guy, Nili
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications programs Domains Explained variance decrease Mobile applications Mobile computing Multidimensional scaling distance (MDS) Power law Power law of practice Principal component analysis (PCA) Principal components analysis Time dependence Unsupervised learning User engagement (UE) Variation
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