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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/8513
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dc.contributor.authorAnand, Vijayalakshmi-
dc.date.accessioned2023-01-17T07:05:39Z-
dc.date.available2023-01-17T07:05:39Z-
dc.date.issued2019-07-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-981-13-8222-2_15-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8513-
dc.description.abstractCrowdsourcing is a well-known model for solving tasks in several organizations in the recent times. While building, the crowdsourcing platform is simple, and its success depends on the amount of individuals taking part in it. We propose a brand new gamification methodology to draw folks to participate within the crowdsourcing platform. Reinforcement algorithm is employed in this gamification method to motivate the people. This reinforcement algorithm can direct a user to participate in some actions that yield maximum reward in a crowdsourcing platform. This gamification technique motivates user to participate in various activities in the crowdsourcing platform. The proposed algorithm is applied on a social media application that has been implemented for faculties to share their research and tutorial experience. We proved that participation of faculties in crowdsourcing platform improved after applying this gamification method.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectComputer Scienceen_US
dc.subjectCrowdsourcingen_US
dc.subjectSocial Mediaen_US
dc.subjectMotivationen_US
dc.subjectMachine learning algorithmen_US
dc.subjectDeep Learningen_US
dc.titleReputation-Based Reinforcement Algorithm for Motivation in Crowdsourcing Platformen_US
dc.typeBook chapteren_US
Appears in Collections:Department of Computer Science and Information Systems

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