Identifying Expertise to Extract the Wisdom of Crowds
Abstract
Statistical aggregation is often used to combine multiple opinions within a group. Such aggregates outperform individuals, including experts, in various prediction and estimation tasks. This result is attributed to the “wisdom of crowds.” We seek to improve the quality of such aggregates by eliminating poorly performing individuals from the crowd. We propose a new measure of contribution to assess the judges' performance relative to the group...
Paper Details
Title
Identifying Expertise to Extract the Wisdom of Crowds
Published Date
Feb 1, 2015
Journal
Volume
61
Issue
2
Pages
267 - 280
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