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Research achievement detail

Title A Note on Recommender System with Transitions of User Classes (in Japanese)
Authors Yasunari Maeda 、Masakiyo Suzuki 、Toshiyasu Matsushima
Released Year 2017
Format Journal
Category Knowledge information processing
Jounal Name IEEJ Transactions on Electronics, Information and Systems
Jounal Page Vol.137, No.6, pp.815-816
Published Year 2017
Published Month 6
Abstract
(English)
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.
Note
(English)
3
Manuscript
Presentation