A note on recommender system with transitions of user classes

Yasunari Maeda, Masakiyo Suzuki, Toshiyasu Matsushima

Research output: Contribution to journalArticle

Abstract

In this research we apply Markov decision processes to recommender system with transitions of user classes. We propose a new recommender method which maximizes total reward with reference to a Bayes criterion.

Original languageEnglish
Pages (from-to)815-816
Number of pages2
JournalIEEJ Transactions on Electronics, Information and Systems
Volume137
Issue number6
DOIs
Publication statusPublished - 2017

Keywords

  • Bayes criterion
  • Markov decision processes
  • Recommender system
  • Statistical decision theory
  • User class

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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