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Ranking Smartphone Apps Based on Users’ Behavior Records

  • Song Luo
  • Maiko Shigeno
  • Wenbo MaEmail author
Conference paper
  • 561 Downloads

Abstract

This paper discusses the ranking problem of how to assign a linear order to a given collection of smartphone apps by using users’ behavior records. The desired linear order is thought of as an observable representation of users’ latent aggregate preference of the apps, which balances their conflicting individual preferences as far as possible. The app ranking problem can be interpreted as a stochastic acyclic subgraph problem on a complete digraph with each arc associated with a constant weight obtained from a known probability distribution.

Keywords

Usage pattern Users’ preference Bayesian inference Stochastic acyclic subgraph problem 

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Copyright information

© Springer Japan 2016

Authors and Affiliations

  1. 1.Graduate School of Systems and Information EngineeringUniversity of TsukubaTsukubaJapan
  2. 2.Faculty of Engineering, Information, and SystemsUniversity of TsukubaTsukubaJapan

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