Feil, Sebastian, Kretzer, Martin E., Werder, Karl and Maedche, Alexander (2016). Using Gamification to Tackle the Cold-Start Problem in Recommender Systems. In: CSCW'16 : proceedings & companion of the ACM Conference on Computer-Supported Cooperative Work and Social Computing : February 27-March 2, 2016, San Francisco, CA, USA, pp. 253-256. New York: Association for Computing Machinery. ISBN 9781450335928

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Item Type: Book Section, Proceedings Item or annotation in a legal commentary
Translated abstract:
AbstractLanguage
The cold start problem in recommender systems refers to the inability of making reliable recommendations if a critical mass of items has not yet been rated. To bypass this problem existing research focused on developing more reliable prediction models for situations in which only few items ratings exist. However, most of these approaches depend on adjusting the algorithm that determines a recommendation. We present a complimentary approach that does not require any adjustments to the recommendation algorithm. We draw on motivation theory and reward users for rating items. In particular, we instantiate different gamification patterns and examine their effect on the average user's number of provided report ratings. Our results confirm the positive effect of instantiating gamification patterns on the number of received report ratings.UNSPECIFIED
Creators:
CreatorsEmailORCID
Feil, SebastianUNSPECIFIEDUNSPECIFIED
Kretzer, Martin E.UNSPECIFIEDUNSPECIFIED
Werder, KarlUNSPECIFIEDUNSPECIFIED
Maedche, AlexanderUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-98876
DOI: 10.1145/2818052.2869079
Publisher: Association for Computing Machinery
ISBN: 9781450335928
Subjects: Library and information sciences
Social sciences
Technology (Applied sciences)
Faculty: Faculty of Management, Economy and Social Sciences
Divisions: Faculty of Management, Economy and Social Sciences > Cologne Institute for Information Systems (CIIS)
Faculty of Management, Economy and Social Sciences > Department of Information Systems and Systems Development
Language: English
Date: 2016
Event Type: Conference
Place of Publication: New York
Refereed: Yes
Page Range: pp. 253-256
Title of Book: CSCW'16 : proceedings & companion of the ACM Conference on Computer-Supported Cooperative Work and Social Computing : February 27-March 2, 2016, San Francisco, CA, USA
URI: http://kups.ub.uni-koeln.de/id/eprint/9887

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