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Task assignment in Crowd sourcing using vector space model

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dc.contributor.author Anand, Vijayalakshmi
dc.date.accessioned 2023-01-17T07:14:49Z
dc.date.available 2023-01-17T07:14:49Z
dc.date.issued 2017
dc.identifier.uri https://acadpubl.eu/jsi/2017-116-23-24/articles/23/78.pdf
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8515
dc.description.abstract Recently the crowd sourcing has become a well known model for doing different assignments in different field. But there are some challenges and issues. The important issues in crowd sourcing are the task assignment and quality. Assigning task to particular resource is a challenge as most of people are unfamiliar, unknown about crowd sourcing and maximum assignment is done online. We address this issue by finding the experts and assign the task based on their expertization. Here we assumed that expert people will always produce quality work. We used this technique in our social media application which is especially created for faculties .We have used a vector space model for finding experts which is normally used for retrieval of document based on the query in a search engines. en_US
dc.language.iso en en_US
dc.publisher International Journal of Pure and Applied Mathematics en_US
dc.subject Computer Science en_US
dc.subject Crowdsourcing en_US
dc.subject Social media application en_US
dc.subject Vector space model en_US
dc.subject Expert finding en_US
dc.title Task assignment in Crowd sourcing using vector space model en_US
dc.type Article en_US


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