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

Related Articles

Social Engineering: Attack, Prevention and Framework

Social Engineering is the act of breaking security by manipulating users/individuals into divulging confidential information. It uses psychological tricks to gain trust, rather than technical cracking techniques. Social...

Feeder Zone Control and Metal Impurity Detection in Blow Room Machines

this project has been designed to detect the metal impurities present in the raw cotton input for the blow room machines and to monitor the level of cotton in the feeder zone of the machine. This is done with the help o...

Pitch Controlled PMSG Based Wind Energy Conversion System with Control of DC Link Voltage and Load Voltage Variations

In this paper, a novel algorithm, based on dc link voltage, is proposed for a standalone permanent magnet synchronous generator (PMSG)-based variable speed wind energy conversion system. Moreover, by maintaining the dc...

Medalert-A Diabetic Predictor Using Logistic Regression Statistical Model

Diabetes is a type of disease in which your blood glucose, or blood sugar, levels are too high. In this research we are focusing on Diabetes patients who have been in a hospital for treatment and we want to classify the...

slugIssues and Challenges of Error Recovery Techniques for Mobile Distributed Systems

The emergence of mobility in a distributed system, has led to the start of new era of computing. Recent technological advances in mobile or hand - held devices and wireless technology ha...

Download PDF file
  • EP ID EP23723
  • DOI http://doi.org/10.22214/ijraset.2017.4016
  • Views 376
  • 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