Uncovering smartphone usage patterns with multi-view mixed membership models
Uncovering smartphone usage patterns with multi-view mixed membership models
复制标题
通过多视图混合会员模型揭示智能手机的使用模式
作者：
Virtanen S
We present a novel class of mixed membership models for combining information from multiple data sources inferring inter‐view and intra‐view statistical associations. An important contemporary application of this work is the meaningful synthesis of data sources corresponding to smartphone application usage, app developers' descriptions and customer feedback. We demonstrate the ability of the model to infer meaningful, interpretable and informative app usage patterns based on the app usage data augmented with rich text data describing the apps. We provide quantitative model evaluations showing the model provides significantly better predictive ability than comparative related existing methods. © 2016 The Authors.StatPublished by John Wiley & Sons Ltd
