Implementation on- Crowd Wisdom Management

Abstract

Many online users with different backgrounds commonly use mobile social networking i.e. connect with one another through their different devices like PC, mobiles, tablet that can be use for purpose of crowdsourcing. As crowd workers these online users can use effect of human intelligence or crowd wisdom efficiently, but there are some following issues: 1) How to inspire online users to actively participate for contribute their knowledge. 2) How to stop users for making random guesses or copying same answers. Answers with low quality can reduce the accuracy of results. 3) How to remove them out. MacroWiz framework used for managing crowd wisdom of mobile social network. It encourages users to share their knowledge as opinion in the form of collection of answers. Wisdom collection and answer selection are two main functional units. It used for reduction of decision making delay and provide high quality answers.

Authors and Affiliations

Sayali Jadhav, Gauri Kumavat, Suvarna Shewale, Rupali Sanap, A. R. Gaidhani

Keywords

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  • EP ID EP23723
  • DOI http://doi.org/10.22214/ijraset.2017.4016
  • Views 358
  • Downloads 7

How To Cite

Sayali Jadhav, Gauri Kumavat, Suvarna Shewale, Rupali Sanap, A. R. Gaidhani (2017). Implementation on- Crowd Wisdom Management. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(4), -. https://europub.co.uk./articles/-A-23723