A Game with a Purpose for Recommender Systems
Smyth, Barry (University College Dublin) | Rafter, Rachael (University College Dublin) | Banks, Sam (University College Dublin)
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.
Nov-1-2015
- Country:
- Europe > Austria
- Vienna (0.15)
- North America > United States
- Massachusetts (0.15)
- Europe > Austria
- Industry:
- Leisure & Entertainment (0.48)
- Technology: