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short-paper

The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation Data

Authors:

Rachael Rafter,

Barry SmythAuthors Info & Claims

RecSys '15: Proceedings of the 9th ACM Conference on Recommender Systems

Pages 305 - 308

https://doi.org/10.1145/2792838.2799675

Published: 16 September 2015 Publication History

Abstract

This paper describes a casual Facebook game to capture recommendation data as a side-effect of gameplay. We show how this data can be used to make successful recommendations as part of a live-user trial.

References

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Cited By

Neto HJulia R(2018)ACE-RL-CheckersKnowledge and Information Systems10.1007/s10115-018-1175-057:3(603-634)Online publication date: 1-Dec-2018
https://dl.acm.org/doi/10.1007/s10115-018-1175-0
Smyth BRafter RBanks SVassileva JBlustein JAroyo LD'Mello S(2016)Harnessing Crowdsourced Recommendation Preference Data from Casual GameplayProceedings of the 2016 Conference on User Modeling Adaptation and Personalization10.1145/2930238.2930260(95-104)Online publication date: 13-Jul-2016
https://dl.acm.org/doi/10.1145/2930238.2930260

Index Terms

The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation Data
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction
  2. World Wide Web
    1. Web applications
    2. Web services

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Information & Contributors

Information

Published In

cover image ACM Conferences

RecSys '15: Proceedings of the 9th ACM Conference on Recommender Systems

September 2015

414 pages

ISBN:9781450336925

DOI:10.1145/2792838

General Chairs:
Hannes Werthner
TU Wien, Austria
,
Markus Zanker
Alpen-Adria-Universität Klagenfurt, Austria
,
Program Chairs:
Jennifer Golbeck
University of Maryland, USA
,
Giovanni Semeraro
University of Bari Aldo Moro, Italy

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 September 2015

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Short-paper

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Science Foundation Ireland

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RecSys '15

Sponsor:

SIGCHI

RecSys '15: Ninth ACM Conference on Recommender Systems

September 16 - 20, 2015

Vienna, Austria

Acceptance Rates

RecSys '15 Paper Acceptance Rate 28 of 131 submissions, 21%;

Overall Acceptance Rate 254 of 1,295 submissions, 20%

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Citations

Cited By

Neto HJulia R(2018)ACE-RL-CheckersKnowledge and Information Systems10.1007/s10115-018-1175-057:3(603-634)Online publication date: 1-Dec-2018
https://dl.acm.org/doi/10.1007/s10115-018-1175-0
Smyth BRafter RBanks SVassileva JBlustein JAroyo LD'Mello S(2016)Harnessing Crowdsourced Recommendation Preference Data from Casual GameplayProceedings of the 2016 Conference on User Modeling Adaptation and Personalization10.1145/2930238.2930260(95-104)Online publication date: 13-Jul-2016
https://dl.acm.org/doi/10.1145/2930238.2930260

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