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| Presentation | 2016-12-09 17:30 Incentive design in crowdsourcing as a multi-armed bandit problem -- A case of more than one requesters -- Shigeo Matsubara, Akihiko Itoh (Kyoto Univ.)  AI2016-23 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | Crowdsourcing / Incentive / Multi-armed bandit problems / Data-driven problem solving / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 350, AI2016-23, pp. 61-66, Dec. 2016. | |
| Paper # | AI2016-23 | |
| Date of Issue | 2016-12-02 (AI) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | AI2016-23 |
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| Conference Information | |
| Committee | AI |
| Conference Date | 2016-12-09 - 2016-12-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | AI |
| Conference Code | 2016-12-AI |
| Language | Japanese |
| 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 |
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| 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.) |
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| Speaker | Author-1 |
| Date Time | 2016-12-09 17:30:00 |
| Presentation Time | 25 minutes |
| Registration for | AI |
| Paper # | AI2016-23 |
| Volume (vol) | vol.116 |
| Number (no) | no.350 |
| Page | pp.61-66 |
| #Pages | 6 |
| Date of Issue | 2016-12-02 (AI) |
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