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A Game with a Purpose for Recommender Systems

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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

Authors

Barry Smyth,Rachael Rafter,Sam Banks

University College Dublin,University College Dublin,University College Dublin


DOI:

10.1609/hcomp.v3i1.13241