A Game with a Purpose for Recommender Systems

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Title: A Game with a Purpose for Recommender Systems
Authors: Smyth, BarryRafter, RachaelBanks, Sam
Permanent link: http://hdl.handle.net/10197/9973
Date: 11-Nov-2015
Online since: 2019-04-16T09:13:46Z
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 aside-effect of gameplay. We evaluate the utility of this data in a recommendation context as part of a small live-user trial.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: AAAI
Copyright (published version): 2015 Association for the Advancement of Artificial Intelligence
Keywords: Recommender SystemsTargeted suggestions
Other versions: https://www.humancomputation.com/2015/
Language: en
Status of Item: Peer reviewed
Is part of: Gerber, E., Ipeirotis, P. (eds.). Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2015)
Conference Details: The Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2015), San Diego, California, 8-11 November 2015
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Insight Research Collection

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