A Game with a Purpose for Recommender Systems

Barry Smyth; Rachael Rafter; Sam Banks

AAAI Publications, Third AAAI Conference on Human Computation and Crowdsourcing

Barry Smyth, Rachael Rafter, Sam Banks

Last modified: 2015-09-23

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.

Keywords

recommender systems; game-with-a-purpose

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