… the context of an idea contest on an existing crowdsourcing platform. To identify required
solution knowledge and users expertise, we will design a machine learning algorithm based on …

… -machine interaction is essential for generating valuable ideas where machine learning and
… discusses the generation and evaluation of ideas through machine learning and contests. …

… the evaluation of idea quality in innovation contests using a machine learning approach.
The … ideas by equating idea quality with performance in such contests. It examines the role of …

… Therefore, we do not include contest-level variables. Because we need to … ideas and total
ideas across contests, we include the ratio of shortlisted ideas to total ideas in each contest as …

… Hence, human-machine interaction is essential for generating valuable ideas where machine
learning … However, the use of machine learning and data-driven approaches to generate …

… Second, as of our current state of knowledge, machine learning in real ideation contests
can help in only the first performance level of AI in ideation, from least to most valuable: 1. …

In 2010, Kaggle, the world’s leading algorithm contest platform, introduced its first Forecast …
With such a high increase rate in the number of contests organized, the technical value, …

… A potential idea is to increase the length of the contest, such that the BIA decreases. While
that looks like a neat idea in theory, we cannot provide clear evidence for it. Figure 4 provides …

… The recent advances in machine learning techniques may offer new opportunities to automate
categorization and classification tasks. Advances in natural language processing provide …

In a crowdsourcing contest a requester posts a task (eg logo design, programming task) on
a platform and announces a monetary reward that he is willing to pay for a winning solution. …