A Game with a Purpose for Recommender Systems
|Title:||A Game with a Purpose for Recommender Systems||Authors:||Smyth, Barry; Rafter, Rachael; Banks, 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 Systems; Targeted 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|
Show full item record
If you are a publisher or author and have copyright concerns for any item, please email firstname.lastname@example.org and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.