| Presentation | 2019-01-16 User Preference Extraction Method and Its Rating Scale with Associative Mining and Workflow Net Mohd Anuaruddin Bin Ahmadon, Piyatida Sakorn, Shingo Yamaguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | ecommender systems have been widely used to improved customer experienced and to support personalized service to the consumer. In this paper, we proposed a method to obtain preferred service workflow which has the highest probability of going to be used by the customer to facilitate market analysis. The approach is by mining the association rules that correspond to the workflow of a universal service then performs a workflow reduction to obtain the preferred workflow. We first proposed a problem for determining preferred workflow. Then, we proposed a workflow reduction method based on association rules generation and rules filtering. Finally, we illustrated the approach of the proposed method with an example of a user workflow prediction and its evaluation scale. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | user preference / recommender system / associative mining / evaluation scale / workflow net |
| Paper # | MSS2018-75,SS2018-46 |
| Date of Issue | 2019-01-08 (MSS, SS) |
| Conference Information | |
| Committee | MSS / SS |
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| Conference Date | 2019/1/15(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Morikazu Nakamura(Univ. of Ryukyus) / Akio Nakata(Hiroshima City Univ.) |
| Vice Chair | Shigemasa Takai(Osaka Univ.) / Takashi Kobayashi(Tokyo Inst. of Tech.) |
| Secretary | Shigemasa Takai(Toshiba) / Takashi Kobayashi(Osaka Univ.) |
| Assistant | Hideki Kinjo(Okinawa Univ.) / Shinpei Hayashi(Tokyo Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Mathematical Systems Science and its applications / Technical Committee on Software Science |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | User Preference Extraction Method and Its Rating Scale with Associative Mining and Workflow Net |
| Sub Title (in English) | |
| Keyword(1) | user preference |
| Keyword(2) | recommender system |
| Keyword(3) | associative mining |
| Keyword(4) | evaluation scale |
| Keyword(5) | workflow net |
| 1st Author's Name | Mohd Anuaruddin Bin Ahmadon |
| 1st Author's Affiliation | Yamaguchi University(Yamaguchi Univ.) |
| 2nd Author's Name | Piyatida Sakorn |
| 2nd Author's Affiliation | Kasetsart University(Kasetsart Univ.) |
| 3rd Author's Name | Shingo Yamaguchi |
| 3rd Author's Affiliation | Yamaguchi University(Yamaguchi Univ.) |
| Date | 2019-01-16 |
| Paper # | MSS2018-75,SS2018-46 |
| Volume (vol) | vol.118 |
| Number (no) | MSS-384,SS-385 |
| Page | pp.pp.115-119(MSS), pp.115-119(SS), |
| #Pages | 5 |
| Date of Issue | 2019-01-08 (MSS, SS) |