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dc.contributor.authorAnand, Vijayalakshmi-
dc.date.accessioned2023-01-17T07:14:49Z-
dc.date.available2023-01-17T07:14:49Z-
dc.date.issued2017-
dc.identifier.urihttps://acadpubl.eu/jsi/2017-116-23-24/articles/23/78.pdf-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8515-
dc.description.abstractRecently 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.isoenen_US
dc.publisherInternational Journal of Pure and Applied Mathematicsen_US
dc.subjectComputer Scienceen_US
dc.subjectCrowdsourcingen_US
dc.subjectSocial media applicationen_US
dc.subjectVector space modelen_US
dc.subjectExpert findingen_US
dc.titleTask assignment in Crowd sourcing using vector space modelen_US
dc.typeArticleen_US
Appears in Collections:Department of Computer Science and Information Systems

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