Clustering, chainstorming, and cheatstorming : a method for optimizing ideas selection in crowdsourcing
2020
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Details
Title
Clustering, chainstorming, and cheatstorming : a method for optimizing ideas selection in crowdsourcing
Author(s)
Bonazzi, Riccardo (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))
Viscusi, Gianluigi (École Polytechnique Fédérale de Lausanne (EPFL), Switzerland)
Viscusi, Gianluigi (École Polytechnique Fédérale de Lausanne (EPFL), Switzerland)
Date
2020-06
Published in
Proceedings of the ACM Collective Intelligence 2020
Publisher
Virtual conference, 18 June 2020
Pagination
4 p.
Presented at
ACM Collective Intelligence 2020, Online, 2020-06-18, 2020-06-18
Paper type
published full paper
Faculty
Economie et Services
School
HEG-VS
Institute
Institut Entrepreneuriat & Management
Record Appears in
Conference materials
Global
Global
External resources
Online version