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| Title | A Note on a New Customer Problem in Recommender System (in Japanese) |
|---|---|
| Authors | Yasunari Maeda 、Sho Yamauchi 、Masakiyo Suzuki 、Toshiyasu Matsushima |
| Released Year | 2017 |
| Format | Journal |
| Category | Knowledge information processing |
| Jounal Name | Journal of Biomedical Fuzzy Systems Association |
| Jounal Page | Vol.19, No.2, pp.13-19 |
| Published Year | 2017 |
| Published Month | 12 |
| Abstract （English） |
In previous research of recommender system Markov decision processes are used in order to represent recom-mender system. Total reward is maximized with reference to a Bayes criterion. In the previous research a ques-tionnaire method for a new customer is not studied. In other previous research a questionnaire method for a new customer is studied, but the total reward is not maximized. In this research we apply Markov decision processes to questionnaire for a new customer in recommender system. We propose a new questionnaire method which maximizes the total reward with reference to the Bayes criterion. In the proposed method dynamic programming is used. |
| Note （English） |
3 |
| Manuscript | |
| Presentation |
