High-speed idea filtering with the bag of lemons

被引：43

作者：

Klein, Mark ^{[1
,3
]}

Bicharra Garcia, Ana Cristina ^{[2
]}

机构：

[1] Univ Zurich, MIT, Cambridge, MA 02139 USA

[2] Univ Fed Fluminense, Niteroi, RJ, Brazil

[3] Univ Zurich, CH-8050 Zurich, Switzerland

来源：

DECISION SUPPORT SYSTEMS | 2015年 / 78卷

关键词：

Collective intelligence; Open innovation; Social computing; Idea filtering; PREDICTION MARKETS; INFORMATION AGGREGATION; DECISION-MAKING; INNOVATION;

D O I：

10.1016/j.dss.2015.06.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Open innovation platforms (web sites where crowds post ideas in a shared space) enable us to elicit huge volumes of potentially valuable solutions for problems we care about, but identifying the best ideas in these collections can be prohibitively expensive and time-consuming. This paper presents an approach, called the "bag of lemons", which enables crowd to filter ideas with accuracy superior to conventional (Likert scale) rating approaches, but in only a fraction of the time. The key insight behind this approach is that crowds are much better at eliminating bad ideas than at identifying good ones. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：39 / 50

页数：12

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