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Reputation-Based Reinforcement Algorithm for Motivation in Crowdsourcing Platform

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dc.contributor.author Anand, Vijayalakshmi
dc.date.accessioned 2023-01-17T07:05:39Z
dc.date.available 2023-01-17T07:05:39Z
dc.date.issued 2019-07
dc.identifier.uri https://link.springer.com/chapter/10.1007/978-981-13-8222-2_15
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8513
dc.description.abstract Crowdsourcing 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.iso en en_US
dc.publisher Springer en_US
dc.subject Computer Science en_US
dc.subject Crowdsourcing en_US
dc.subject Social Media en_US
dc.subject Motivation en_US
dc.subject Machine learning algorithm en_US
dc.subject Deep Learning en_US
dc.title Reputation-Based Reinforcement Algorithm for Motivation in Crowdsourcing Platform en_US
dc.type Book chapter en_US


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