| Presentation | 2016-12-09 Incentive design in crowdsourcing as a multi-armed bandit problem Shigeo Matsubara, Akihiko Itoh, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We have examined to apply the multi-armed bandit (MAB) techniques to an incentive design problem in crowdsourcing. So far, researchers studied the effects of various incentives including financial and social ones. The effect of these incentives, however, may differ in different tasks. To overcome this difficulty, we take a data-driven approach combining exploration and exploitation instead of trying to find a universally effective incentive. We evaluated the performance of typical MAB algorithms by using word search puzzles. The experimental results show that applying the MAB algorithms is effective to obtain the appropriate incentive design. Moreover, we discuss the issues in realizing the collaboration of more than one requesters having the similar tasks. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Crowdsourcing / Incentive / Multi-armed bandit problems / Data-driven problem solving |
| Paper # | AI2016-23 |
| Date of Issue | 2016-12-02 (AI) |
| Conference Information | |
| Committee | AI |
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| Conference Date | 2016/12/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Toshiharu Sugawara(Waseda Univ.) |
| Vice Chair | Tsunenori Mine(Kyushu Univ.) / Daisuke Katagami(Tokyo Polytechnic Univ.) |
| Secretary | Tsunenori Mine(Ritsumeikan Univ.) / Daisuke Katagami(Shizuoka Univ.) |
| Assistant | Yuichi Sei(Univ. of Electro-Comm.) |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Incentive design in crowdsourcing as a multi-armed bandit problem |
| Sub Title (in English) | A case of more than one requesters |
| Keyword(1) | Crowdsourcing |
| Keyword(2) | Incentive |
| Keyword(3) | Multi-armed bandit problems |
| Keyword(4) | Data-driven problem solving |
| 1st Author's Name | Shigeo Matsubara |
| 1st Author's Affiliation | Kyoto University(Kyoto Univ.) |
| 2nd Author's Name | Akihiko Itoh |
| 2nd Author's Affiliation | Kyoto University(Kyoto Univ.) |
| Date | 2016-12-09 |
| Paper # | AI2016-23 |
| Volume (vol) | vol.116 |
| Number (no) | AI-350 |
| Page | pp.pp.61-66(AI), |
| #Pages | 6 |
| Date of Issue | 2016-12-02 (AI) |