Learning to Predict the Wisdom of Crowds

Details Learning to Predict the Wisdom of Crowds Learning to Predict the Wisdom of Crowds

2012-04-16

arxiv.org/abs/1204.3611v1

Computer Science

Social and Information Networks

Presented at Collective Intelligence conference, 2012 (arXiv:1204.2991)

Scientific paper

The problem of "approximating the crowd" is that of estimating the crowd's majority opinion by querying only a subset of it. Algorithms that approximate the crowd can intelligently stretch a limited budget for a crowdsourcing task. We present an algorithm, "CrowdSense," that works in an online fashion to dynamically sample subsets of labelers based on an exploration/exploitation criterion. The algorithm produces a weighted combination of a subset of the labelers' votes that approximates the crowd's opinion.

Affiliated with

Also associated with

No associations

Rating

Learning to Predict the Wisdom of Crowds does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Learning to Predict the Wisdom of Crowds, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Learning to Predict the Wisdom of Crowds will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-7459