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

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    Recommender systems

    Keywords

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

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

    Cite this

    A note on recommender system with transitions of user classes. / Maeda, Yasunari; Suzuki, Masakiyo; Matsushima, Toshiyasu.

    In: IEEJ Transactions on Electronics, Information and Systems, Vol. 137, No. 6, 2017, p. 815-816.

    Research output: Contribution to journalArticle

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