Abstract:
Recommender systems learn about our preferences to make targeted suggestions. In this paper we outline a novel game-with-a-purpose designed to infer preferences at scale as a side-effect of gameplay. We evaluate the utility of this data in a recommendation context as part of a small live-user trial.

Published Date: 2015-11-12
Registration: ISBN 978-1-57735-740-7
DOI:
10.1609/hcomp.v3i1.13241