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 language | English |
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Pages (from-to) | 815-816 |
Number of pages | 2 |
Journal | IEEJ Transactions on Electronics, Information and Systems |
Volume | 137 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2017 |
Keywords
- Bayes criterion
- Markov decision processes
- Recommender system
- Statistical decision theory
- User class
ASJC Scopus subject areas
- Electrical and Electronic Engineering