| Presentation | 2014-07-17 A study of a MDP-based recommender system when the class of user who is recommended items is unknown Shusuke IWAI, Nozomi MIYA, Yasunari MAEDA, Toshiyasu MATSUSHIMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recommender system is a system that gives users objects, information and items they want. In previous studies, recommendation was once and result of recommendation was not considered. Recently, in contrast, studies that consider results of recommendation have done. For example, there are studies that apply marcov decision process to recommender system. In addition, there are studies that apply marcov decision process and statistical decision theory to recommender system. These studies consider all users' probability of purchase are same. In contrast, we consider users are belongs to a class that classified by similarity. In addition, we consider the probability of purchase by users belongs to the class is different from the probability of purchase by users belongs to other class. We consider classes of users whose purchase data we have are known and class of the user who is recommended item is unknown. Then, we use marcov decision process and statistical decision theory. We renovate decision function by maximizing bayes criterion when the user who is recommended items buy new item. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | recommender system / marcov decision process / statistical decision process / clustering |
| Paper # | IT2014-20 |
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| Conference Information | |
| Committee | IT |
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| Conference Date | 2014/7/10(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Information Theory (IT) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study of a MDP-based recommender system when the class of user who is recommended items is unknown |
| Sub Title (in English) | |
| Keyword(1) | recommender system |
| Keyword(2) | marcov decision process |
| Keyword(3) | statistical decision process |
| Keyword(4) | clustering |
| 1st Author's Name | Shusuke IWAI |
| 1st Author's Affiliation | Department of Applied Mathematics, School of Fundamental Science and Engineering, Waseda University() |
| 2nd Author's Name | Nozomi MIYA |
| 2nd Author's Affiliation | Department of Applied Mathematics, School of Fundamental Science and Engineering, Waseda University |
| 3rd Author's Name | Yasunari MAEDA |
| 3rd Author's Affiliation | Dept. of Computer Sciences, Kitami Institute of Technology |
| 4th Author's Name | Toshiyasu MATSUSHIMA |
| 4th Author's Affiliation | Department of Applied Mathematics, School of Fundamental Science and Engineering, Waseda University |
| Date | 2014-07-17 |
| Paper # | IT2014-20 |
| Volume (vol) | vol.114 |
| Number (no) | 138 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |